Pandas Profiling Report

Dataset statistics

Number of variables	28
Number of observations	56
Missing cells	24
Missing cells (%)	1.5%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	12.4 KiB
Average record size in memory	226.3 B

Variable types

Numeric	9
Categorical	19

Alerts

`airdate` has constant value "2020-12-06"	Constant
`url` has a high cardinality: 56 distinct values	High cardinality
`name` has a high cardinality: 53 distinct values	High cardinality
`_links_self_href` has a high cardinality: 56 distinct values	High cardinality
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`season` is highly correlated with `number` and 2 other fields	High correlation
`number` is highly correlated with `season`	High correlation
`runtime` is highly correlated with `season` and 2 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `season` and 2 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_officialSite` is highly correlated with `_embedded_show_summary` and 9 other fields	High correlation
`summary` is highly correlated with `_embedded_show_summary` and 3 other fields	High correlation
`_embedded_show_summary` is highly correlated with `_embedded_show_officialSite` and 13 other fields	High correlation
`_embedded_show_type` is highly correlated with `url` and 3 other fields	High correlation
`_embedded_show_status` is highly correlated with `_embedded_show_summary` and 5 other fields	High correlation
`url` is highly correlated with `_embedded_show_officialSite` and 17 other fields	High correlation
`_embedded_show_ended` is highly correlated with `_embedded_show_summary` and 6 other fields	High correlation
`_embedded_show_name` is highly correlated with `_embedded_show_officialSite` and 9 other fields	High correlation
`_embedded_show_premiered` is highly correlated with `_embedded_show_officialSite` and 11 other fields	High correlation
`name` is highly correlated with `url` and 2 other fields	High correlation
`airdate` is highly correlated with `_embedded_show_officialSite` and 17 other fields	High correlation
`airtime` is highly correlated with `_embedded_show_summary` and 6 other fields	High correlation
`_links_self_href` is highly correlated with `_embedded_show_officialSite` and 17 other fields	High correlation
`_embedded_show_genres` is highly correlated with `_embedded_show_officialSite` and 11 other fields	High correlation
`type` is highly correlated with `_embedded_show_summary` and 6 other fields	High correlation
`_embedded_show_url` is highly correlated with `_embedded_show_officialSite` and 9 other fields	High correlation
`_embedded_show_language` is highly correlated with `_embedded_show_officialSite` and 9 other fields	High correlation
`_embedded_show_dvdCountry` is highly correlated with `_embedded_show_summary` and 8 other fields	High correlation
`airstamp` is highly correlated with `_embedded_show_officialSite` and 8 other fields	High correlation
`id` is highly correlated with `url` and 16 other fields	High correlation
`url` is highly correlated with `id` and 25 other fields	High correlation
`name` is highly correlated with `id` and 19 other fields	High correlation
`season` is highly correlated with `id` and 15 other fields	High correlation
`number` is highly correlated with `id` and 14 other fields	High correlation
`type` is highly correlated with `url` and 11 other fields	High correlation
`airtime` is highly correlated with `url` and 20 other fields	High correlation
`airstamp` is highly correlated with `id` and 19 other fields	High correlation
`runtime` is highly correlated with `url` and 19 other fields	High correlation
`summary` is highly correlated with `id` and 15 other fields	High correlation
`_embedded_show_id` is highly correlated with `id` and 20 other fields	High correlation
`_embedded_show_url` is highly correlated with `id` and 25 other fields	High correlation
`_embedded_show_name` is highly correlated with `id` and 25 other fields	High correlation
`_embedded_show_type` is highly correlated with `id` and 18 other fields	High correlation
`_embedded_show_language` is highly correlated with `url` and 20 other fields	High correlation
`_embedded_show_genres` is highly correlated with `url` and 16 other fields	High correlation
`_embedded_show_status` is highly correlated with `url` and 13 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `id` and 19 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `id` and 19 other fields	High correlation
`_embedded_show_premiered` is highly correlated with `id` and 25 other fields	High correlation
`_embedded_show_ended` is highly correlated with `url` and 11 other fields	High correlation
`_embedded_show_officialSite` is highly correlated with `id` and 25 other fields	High correlation
`_embedded_show_weight` is highly correlated with `id` and 18 other fields	High correlation
`_embedded_show_dvdCountry` is highly correlated with `url` and 13 other fields	High correlation
`_embedded_show_summary` is highly correlated with `id` and 25 other fields	High correlation
`_embedded_show_updated` is highly correlated with `url` and 15 other fields	High correlation
`_links_self_href` is highly correlated with `id` and 25 other fields	High correlation
`number` has 2 (3.6%) missing values	Missing
`runtime` has 6 (10.7%) missing values	Missing
`_embedded_show_runtime` has 12 (21.4%) missing values	Missing
`_embedded_show_averageRuntime` has 4 (7.1%) missing values	Missing
`url` is uniformly distributed	Uniform
`name` is uniformly distributed	Uniform
`_links_self_href` is uniformly distributed	Uniform
`id` has unique values	Unique
`url` has unique values	Unique
`_links_self_href` has unique values	Unique

Reproduction

Analysis started	2022-05-10 02:02:53.201848
Analysis finished	2022-05-10 02:03:23.947715
Duration	30.75 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

id
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	56
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2029711.446

Minimum	1956338
Maximum	2318098
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	576.0 B

Quantile statistics

Minimum	1956338
5-th percentile	1965553
Q1	1977297.75
median	1981699.5
Q3	2044187
95-th percentile	2240011.75
Maximum	2318098
Range	361760
Interquartile range (IQR)	66889.25

Descriptive statistics

Standard deviation	91774.99906
Coefficient of variation (CV)	0.04521578632
Kurtosis	1.771050666
Mean	2029711.446
Median Absolute Deviation (MAD)	10419
Skewness	1.684405582
Sum	113663841
Variance	8422650452
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2269800	1	1.8%
1956338	1	1.8%
1964446	1	1.8%
1980932	1	1.8%
1970253	1	1.8%
1978261	1	1.8%
1982625	1	1.8%
1982626	1	1.8%
1982627	1	1.8%
1997298	1	1.8%
Other values (46)	46	82.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1956338	1	1.8%
1957067	1	1.8%
1964446	1	1.8%
1965922	1	1.8%
1967755	1	1.8%
1969227	1	1.8%
1969247	1	1.8%
1970253	1	1.8%
1972308	1	1.8%
1974049	1	1.8%

Value	Count	Frequency (%)
2318098	1	1.8%
2269800	1	1.8%
2255983	1	1.8%
2234688	1	1.8%
2195599	1	1.8%
2178561	1	1.8%
2176123	1	1.8%
2165929	1	1.8%
2138924	1	1.8%
2116831	1	1.8%

url
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	56
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	576.0 B

https://www.tvmaze.com/episodes/2269800/manaki-1x07-golos-zvera-delo-arhangelskogo-manaka	1
https://www.tvmaze.com/episodes/1956338/hero-return-1x09-episode-9	1
https://www.tvmaze.com/episodes/1964446/bani-negri-pentru-zile-albe-1x03-socoteala	1
https://www.tvmaze.com/episodes/1980932/cuzie-pisma-1x20-kak-sdelat-kaming-aut-stavki-zlo-pocemu-on-ohladel	1
https://www.tvmaze.com/episodes/1970253/amore-1x49-truth-will-prevail-12	1
Other values (51)	51

Length

Max length	146
Median length	98
Mean length	83.96428571
Min length	61

Characters and Unicode

Total characters	4702
Distinct characters	39
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	56 ?
Unique (%)	100.0%

Sample

1st row	https://www.tvmaze.com/episodes/2269800/manaki-1x07-golos-zvera-delo-arhangelskogo-manaka
2nd row	https://www.tvmaze.com/episodes/1956338/hero-return-1x09-episode-9
3rd row	https://www.tvmaze.com/episodes/1978217/swallowed-star-1x03-episode-3
4th row	https://www.tvmaze.com/episodes/2052506/wu-shen-zhu-zai-1x81-episode-81
5th row	https://www.tvmaze.com/episodes/2138924/tokyo-joshi-pro-wrestling-2020-12-06-tjpw-fall-tour-20-womm-wrestling-of-my-mind

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/2269800/manaki-1x07-golos-zvera-delo-arhangelskogo-manaka	1	1.8%
https://www.tvmaze.com/episodes/1956338/hero-return-1x09-episode-9	1	1.8%
https://www.tvmaze.com/episodes/1964446/bani-negri-pentru-zile-albe-1x03-socoteala	1	1.8%
https://www.tvmaze.com/episodes/1980932/cuzie-pisma-1x20-kak-sdelat-kaming-aut-stavki-zlo-pocemu-on-ohladel	1	1.8%
https://www.tvmaze.com/episodes/1970253/amore-1x49-truth-will-prevail-12	1	1.8%
https://www.tvmaze.com/episodes/1978261/ultra-galaxy-fight-the-absolute-conspiracy-1x03-part-3	1	1.8%
https://www.tvmaze.com/episodes/1982625/pappas-pojkar-1x01-obekvam-striptease-och-en-skrikande-bebis	1	1.8%
https://www.tvmaze.com/episodes/1982626/pappas-pojkar-1x02-dagsfylla-men-var-ar-festen	1	1.8%
https://www.tvmaze.com/episodes/1982627/pappas-pojkar-1x03-herman-forsoker-bli-bedragare	1	1.8%
https://www.tvmaze.com/episodes/1997298/the-george-lucas-talk-show-1x18-episode-xviii-decembyrinth	1	1.8%
Other values (46)	46	82.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/2269800/manaki-1x07-golos-zvera-delo-arhangelskogo-manaka	1	1.8%
https://www.tvmaze.com/episodes/1956338/hero-return-1x09-episode-9	1	1.8%
https://www.tvmaze.com/episodes/1981696/meisje-van-plezier-3x04-aflevering-4	1	1.8%
https://www.tvmaze.com/episodes/1978217/swallowed-star-1x03-episode-3	1	1.8%
https://www.tvmaze.com/episodes/2052506/wu-shen-zhu-zai-1x81-episode-81	1	1.8%
https://www.tvmaze.com/episodes/2138924/tokyo-joshi-pro-wrestling-2020-12-06-tjpw-fall-tour-20-womm-wrestling-of-my-mind	1	1.8%
https://www.tvmaze.com/episodes/2012320/mans-diary-2x05-episode-5	1	1.8%
https://www.tvmaze.com/episodes/1957067/atlantic-crossing-1x07-gaven	1	1.8%
https://www.tvmaze.com/episodes/1977314/stjernestov-1x06-episode-6	1	1.8%
https://www.tvmaze.com/episodes/1974049/love-revolution-1x23-episode-23	1	1.8%
Other values (46)	46	82.1%

Most occurring characters

Value	Count	Frequency (%)
e	390	8.3%
-	369	7.8%
s	298	6.3%
/	280	6.0%
t	260	5.5%
o	236	5.0%
a	225	4.8%
i	198	4.2%
w	194	4.1%
p	186	4.0%
Other values (29)	2066	43.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3231	68.7%
Decimal Number	654	13.9%
Other Punctuation	448	9.5%
Dash Punctuation	369	7.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	390	12.1%
s	298	9.2%
t	260	8.0%
o	236	7.3%
a	225	7.0%
i	198	6.1%
w	194	6.0%
p	186	5.8%
m	175	5.4%
d	115	3.6%
Other values (15)	954	29.5%

Decimal Number

Value	Count	Frequency (%)
1	126	19.3%
2	110	16.8%
0	98	15.0%
9	76	11.6%
6	51	7.8%
3	43	6.6%
8	41	6.3%
7	41	6.3%
5	35	5.4%
4	33	5.0%

Other Punctuation

Value	Count	Frequency (%)
/	280	62.5%
.	112	25.0%
:	56	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	369	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3231	68.7%
Common	1471	31.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	390	12.1%
s	298	9.2%
t	260	8.0%
o	236	7.3%
a	225	7.0%
i	198	6.1%
w	194	6.0%
p	186	5.8%
m	175	5.4%
d	115	3.6%
Other values (15)	954	29.5%

Common

Value	Count	Frequency (%)
-	369	25.1%
/	280	19.0%
1	126	8.6%
.	112	7.6%
2	110	7.5%
0	98	6.7%
9	76	5.2%
:	56	3.8%
6	51	3.5%
3	43	2.9%
Other values (4)	150	10.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4702	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	390	8.3%
-	369	7.8%
s	298	6.3%
/	280	6.0%
t	260	5.5%
o	236	5.0%
a	225	4.8%
i	198	4.2%
w	194	4.1%
p	186	4.0%
Other values (29)	2066	43.9%

name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	53
Distinct (%)	94.6%
Missing	0
Missing (%)	0.0%
Memory size	576.0 B

Episode 5	3
Episode 6	2
Голос зверя. Дело архангельского маньяка	1
Feelings are Hard to Navigate, Especially in Space	1
Part 3	1
Other values (48)	48

Length

Max length	95
Median length	53
Mean length	22.26785714
Min length	5

Characters and Unicode

Total characters	1247
Distinct characters	121
Distinct categories	10 ?
Distinct scripts	3 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	51 ?
Unique (%)	91.1%

Sample

1st row	Голос зверя. Дело архангельского маньяка
2nd row	Episode 9
3rd row	Episode 3
4th row	Episode 81
5th row	TJPW Fall Tour '20 ~ WOMM (Wrestling Of My Mind) ~

Common Values

Value	Count	Frequency (%)
Episode 5	3	5.4%
Episode 6	2	3.6%
Голос зверя. Дело архангельского маньяка	1	1.8%
Feelings are Hard to Navigate, Especially in Space	1	1.8%
Part 3	1	1.8%
Obekväm striptease (och en skrikande bebis)	1	1.8%
Dagsfylla!! Men var är festen?	1	1.8%
Herman försöker bli bedragare	1	1.8%
Episode XVIII: DECEMBYRINTH	1	1.8%
GRA-ŽU-LIS ir mėgstamiausios lietuvių Covid-19 melagienos	1	1.8%
Other values (43)	43	76.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
episode	16	7.8%
	4	2.0%
aflevering	4	2.0%
in	3	1.5%
6	3	1.5%
5	3	1.5%
2	3	1.5%
of	3	1.5%
4	3	1.5%
3	3	1.5%
Other values (154)	159	77.9%

Most occurring characters

Value	Count	Frequency (%)
	148	11.9%
e	84	6.7%
i	61	4.9%
a	51	4.1%
s	50	4.0%
r	45	3.6%
o	43	3.4%
l	35	2.8%
n	35	2.8%
t	33	2.6%
Other values (111)	662	53.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	802	64.3%
Uppercase Letter	178	14.3%
Space Separator	148	11.9%
Decimal Number	59	4.7%
Other Punctuation	40	3.2%
Dash Punctuation	8	0.6%
Close Punctuation	4	0.3%
Open Punctuation	3	0.2%
Currency Symbol	3	0.2%
Math Symbol	2	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	84	10.5%
i	61	7.6%
a	51	6.4%
s	50	6.2%
r	45	5.6%
o	43	5.4%
l	35	4.4%
n	35	4.4%
t	33	4.1%
d	29	3.6%
Other values (48)	336	41.9%

Uppercase Letter

Value	Count	Frequency (%)
E	27	15.2%
T	15	8.4%
S	11	6.2%
A	10	5.6%
M	10	5.6%
C	8	4.5%
W	8	4.5%
O	7	3.9%
N	6	3.4%
P	6	3.4%
Other values (25)	70	39.3%

Decimal Number

Value	Count	Frequency (%)
2	14	23.7%
0	11	18.6%
1	9	15.3%
6	6	10.2%
4	5	8.5%
3	4	6.8%
5	3	5.1%
9	3	5.1%
7	2	3.4%
8	2	3.4%

Other Punctuation

Value	Count	Frequency (%)
,	8	20.0%
"	6	15.0%
.	5	12.5%
:	4	10.0%
/	4	10.0%
?	4	10.0%
#	3	7.5%
!	3	7.5%
'	2	5.0%
@	1	2.5%

Currency Symbol

Value	Count	Frequency (%)
$	1	33.3%
₴	1	33.3%
¥	1	33.3%

Space Separator

Value	Count	Frequency (%)
	148	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	8	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	4	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	3	100.0%

Math Symbol

Value	Count	Frequency (%)
~	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	783	62.8%
Common	267	21.4%
Cyrillic	197	15.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	84	10.7%
i	61	7.8%
a	51	6.5%
s	50	6.4%
r	45	5.7%
o	43	5.5%
l	35	4.5%
n	35	4.5%
t	33	4.2%
d	29	3.7%
Other values (44)	317	40.5%

Cyrillic

Value	Count	Frequency (%)
о	22	11.2%
а	18	9.1%
к	13	6.6%
л	12	6.1%
е	12	6.1%
н	10	5.1%
м	9	4.6%
и	8	4.1%
с	7	3.6%
р	7	3.6%
Other values (29)	79	40.1%

Common

Value	Count	Frequency (%)
	148	55.4%
2	14	5.2%
0	11	4.1%
1	9	3.4%
-	8	3.0%
,	8	3.0%
6	6	2.2%
"	6	2.2%
4	5	1.9%
.	5	1.9%
Other values (18)	47	17.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1039	83.3%
Cyrillic	197	15.8%
None	10	0.8%
Currency Symbols	1	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	148	14.2%
e	84	8.1%
i	61	5.9%
a	51	4.9%
s	50	4.8%
r	45	4.3%
o	43	4.1%
l	35	3.4%
n	35	3.4%
t	33	3.2%
Other values (63)	454	43.7%

Cyrillic

Value	Count	Frequency (%)
о	22	11.2%
а	18	9.1%
к	13	6.6%
л	12	6.1%
е	12	6.1%
н	10	5.1%
м	9	4.6%
и	8	4.1%
с	7	3.6%
р	7	3.6%
Other values (29)	79	40.1%

None

Value	Count	Frequency (%)
ö	2	20.0%
ä	2	20.0%
Ž	1	10.0%
å	1	10.0%
í	1	10.0%
ė	1	10.0%
ų	1	10.0%
¥	1	10.0%

Currency Symbols

Value	Count	Frequency (%)
₴	1	100.0%

season
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	7
Distinct (%)	12.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	219.0892857

Minimum	1
Maximum	2020
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	576.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	3
95-th percentile	2020
Maximum	2020
Range	2019
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	629.5324752
Coefficient of variation (CV)	2.873406032
Kurtosis	4.991799558
Mean	219.0892857
Median Absolute Deviation (MAD)	1
Skewness	2.61028705
Sum	12269
Variance	396311.1373
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
1	27	48.2%
2	9	16.1%
3	9	16.1%
2020	6	10.7%
5	3	5.4%
48	1	1.8%
14	1	1.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	27	48.2%
2	9	16.1%
3	9	16.1%
5	3	5.4%
14	1	1.8%
48	1	1.8%
2020	6	10.7%

Value	Count	Frequency (%)
2020	6	10.7%
48	1	1.8%
14	1	1.8%
5	3	5.4%
3	9	16.1%
2	9	16.1%
1	27	48.2%

number
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	26
Distinct (%)	48.1%
Missing	2
Missing (%)	3.6%
Infinite	0
Infinite (%)	0.0%
Mean	20.90740741

Minimum	1
Maximum	333
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	576.0 B

Quantile statistics

Minimum	1
5-th percentile	1.65
Q1	3
median	7
Q3	17.5
95-th percentile	60.85
Maximum	333
Range	332
Interquartile range (IQR)	14.5

Descriptive statistics

Standard deviation	47.49389971
Coefficient of variation (CV)	2.271630279
Kurtosis	36.37004185
Mean	20.90740741
Median Absolute Deviation (MAD)	5
Skewness	5.636585817
Sum	1129
Variance	2255.67051
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
2	7	12.5%
3	6	10.7%
7	5	8.9%
5	4	7.1%
6	3	5.4%
4	3	5.4%
1	3	5.4%
49	2	3.6%
42	2	3.6%
8	2	3.6%
Other values (16)	17	30.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	3	5.4%
2	7	12.5%
3	6	10.7%
4	3	5.4%
5	4	7.1%
6	3	5.4%
7	5	8.9%
8	2	3.6%
9	1	1.8%
10	2	3.6%

Value	Count	Frequency (%)
333	1	1.8%
85	1	1.8%
81	1	1.8%
50	1	1.8%
49	2	3.6%
46	1	1.8%
42	2	3.6%
36	1	1.8%
35	1	1.8%
23	1	1.8%

type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	5.4%
Missing	0
Missing (%)	0.0%
Memory size	576.0 B

regular	54
insignificant_special	1
significant_special	1

Length

Max length	21
Median length	7
Mean length	7.464285714
Min length	7

Characters and Unicode

Total characters	418
Distinct characters	14
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	3.6%

Sample

1st row	regular
2nd row	regular
3rd row	regular
4th row	regular
5th row	regular

Common Values

Value	Count	Frequency (%)
regular	54	96.4%
insignificant_special	1	1.8%
significant_special	1	1.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
regular	54	96.4%
insignificant_special	1	1.8%
significant_special	1	1.8%

Most occurring characters

Value	Count	Frequency (%)
r	108	25.8%
a	58	13.9%
e	56	13.4%
g	56	13.4%
l	56	13.4%
u	54	12.9%
i	9	2.2%
n	5	1.2%
s	4	1.0%
c	4	1.0%
Other values (4)	8	1.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	416	99.5%
Connector Punctuation	2	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	108	26.0%
a	58	13.9%
e	56	13.5%
g	56	13.5%
l	56	13.5%
u	54	13.0%
i	9	2.2%
n	5	1.2%
s	4	1.0%
c	4	1.0%
Other values (3)	6	1.4%

Connector Punctuation

Value	Count	Frequency (%)
_	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	416	99.5%
Common	2	0.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	108	26.0%
a	58	13.9%
e	56	13.5%
g	56	13.5%
l	56	13.5%
u	54	13.0%
i	9	2.2%
n	5	1.2%
s	4	1.0%
c	4	1.0%
Other values (3)	6	1.4%

Common

Value	Count	Frequency (%)
_	2	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	418	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	108	25.8%
a	58	13.9%
e	56	13.4%
g	56	13.4%
l	56	13.4%
u	54	12.9%
i	9	2.2%
n	5	1.2%
s	4	1.0%
c	4	1.0%
Other values (4)	8	1.9%

airdate
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Memory size	576.0 B

2020-12-06	56

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	560
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2020-12-06
2nd row	2020-12-06
3rd row	2020-12-06
4th row	2020-12-06
5th row	2020-12-06

Common Values

Value	Count	Frequency (%)
2020-12-06	56	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2020-12-06	56	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	168	30.0%
0	168	30.0%
-	112	20.0%
1	56	10.0%
6	56	10.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	448	80.0%
Dash Punctuation	112	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	168	37.5%
0	168	37.5%
1	56	12.5%
6	56	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	112	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	560	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	168	30.0%
0	168	30.0%
-	112	20.0%
1	56	10.0%
6	56	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	560	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	168	30.0%
0	168	30.0%
-	112	20.0%
1	56	10.0%
6	56	10.0%

airtime
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	17.9%
Missing	0
Missing (%)	0.0%
Memory size	576.0 B

nan	42
10:00	3
12:00	3
06:00	2
17:00	1
Other values (5)	5

Length

Max length	5
Median length	3
Mean length	3.5
Min length	3

Characters and Unicode

Total characters	196
Distinct characters	11
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	10.7%

Sample

1st row	nan
2nd row	10:00
3rd row	10:00
4th row	10:00
5th row	12:00

Common Values

Value	Count	Frequency (%)
nan	42	75.0%
10:00	3	5.4%
12:00	3	5.4%
06:00	2	3.6%
17:00	1	1.8%
18:00	1	1.8%
14:00	1	1.8%
22:20	1	1.8%
19:00	1	1.8%
20:00	1	1.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
nan	42	75.0%
10:00	3	5.4%
12:00	3	5.4%
06:00	2	3.6%
17:00	1	1.8%
18:00	1	1.8%
14:00	1	1.8%
22:20	1	1.8%
19:00	1	1.8%
20:00	1	1.8%

Most occurring characters

Value	Count	Frequency (%)
n	84	42.9%
a	42	21.4%
0	33	16.8%
:	14	7.1%
1	10	5.1%
2	7	3.6%
6	2	1.0%
7	1	0.5%
8	1	0.5%
4	1	0.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	126	64.3%
Decimal Number	56	28.6%
Other Punctuation	14	7.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	33	58.9%
1	10	17.9%
2	7	12.5%
6	2	3.6%
7	1	1.8%
8	1	1.8%
4	1	1.8%
9	1	1.8%

Lowercase Letter

Value	Count	Frequency (%)
n	84	66.7%
a	42	33.3%

Other Punctuation

Value	Count	Frequency (%)
:	14	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	126	64.3%
Common	70	35.7%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	33	47.1%
:	14	20.0%
1	10	14.3%
2	7	10.0%
6	2	2.9%
7	1	1.4%
8	1	1.4%
4	1	1.4%
9	1	1.4%

Latin

Value	Count	Frequency (%)
n	84	66.7%
a	42	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	196	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	84	42.9%
a	42	21.4%
0	33	16.8%
:	14	7.1%
1	10	5.1%
2	7	3.6%
6	2	1.0%
7	1	0.5%
8	1	0.5%
4	1	0.5%

airstamp
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	14
Distinct (%)	25.0%
Missing	0
Missing (%)	0.0%
Memory size	576.0 B

2020-12-06T12:00:00+00:00	21
2020-12-06T11:00:00+00:00	15
2020-12-06T17:00:00+00:00	6
2020-12-06T02:00:00+00:00	3
2020-12-06T05:00:00+00:00	2
Other values (9)	9

Length

Max length	25
Median length	25
Mean length	25
Min length	25

Characters and Unicode

Total characters	1400
Distinct characters	14
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9 ?
Unique (%)	16.1%

Sample

1st row	2020-12-06T00:00:00+00:00
2nd row	2020-12-06T02:00:00+00:00
3rd row	2020-12-06T02:00:00+00:00
4th row	2020-12-06T02:00:00+00:00
5th row	2020-12-06T03:00:00+00:00

Common Values

Value	Count	Frequency (%)
2020-12-06T12:00:00+00:00	21	37.5%
2020-12-06T11:00:00+00:00	15	26.8%
2020-12-06T17:00:00+00:00	6	10.7%
2020-12-06T02:00:00+00:00	3	5.4%
2020-12-06T05:00:00+00:00	2	3.6%
2020-12-06T00:00:00+00:00	1	1.8%
2020-12-06T03:00:00+00:00	1	1.8%
2020-12-06T04:00:00+00:00	1	1.8%
2020-12-06T08:00:00+00:00	1	1.8%
2020-12-06T09:00:00+00:00	1	1.8%
Other values (4)	4	7.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-06t12:00:00+00:00	21	37.5%
2020-12-06t11:00:00+00:00	15	26.8%
2020-12-06t17:00:00+00:00	6	10.7%
2020-12-06t02:00:00+00:00	3	5.4%
2020-12-06t05:00:00+00:00	2	3.6%
2020-12-06t00:00:00+00:00	1	1.8%
2020-12-06t03:00:00+00:00	1	1.8%
2020-12-06t04:00:00+00:00	1	1.8%
2020-12-06t08:00:00+00:00	1	1.8%
2020-12-06t09:00:00+00:00	1	1.8%
Other values (4)	4	7.1%

Most occurring characters

Value	Count	Frequency (%)
0	629	44.9%
2	194	13.9%
:	168	12.0%
1	116	8.3%
-	112	8.0%
T	56	4.0%
+	56	4.0%
6	54	3.9%
7	8	0.6%
5	2	0.1%
Other values (4)	5	0.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1008	72.0%
Other Punctuation	168	12.0%
Dash Punctuation	112	8.0%
Uppercase Letter	56	4.0%
Math Symbol	56	4.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	629	62.4%
2	194	19.2%
1	116	11.5%
6	54	5.4%
7	8	0.8%
5	2	0.2%
4	2	0.2%
3	1	0.1%
8	1	0.1%
9	1	0.1%

Other Punctuation

Value	Count	Frequency (%)
:	168	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	112	100.0%

Uppercase Letter

Value	Count	Frequency (%)
T	56	100.0%

Math Symbol

Value	Count	Frequency (%)
+	56	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1344	96.0%
Latin	56	4.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	629	46.8%
2	194	14.4%
:	168	12.5%
1	116	8.6%
-	112	8.3%
+	56	4.2%
6	54	4.0%
7	8	0.6%
5	2	0.1%
4	2	0.1%
Other values (3)	3	0.2%

Latin

Value	Count	Frequency (%)
T	56	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1400	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	629	44.9%
2	194	13.9%
:	168	12.0%
1	116	8.3%
-	112	8.0%
T	56	4.0%
+	56	4.0%
6	54	3.9%
7	8	0.6%
5	2	0.1%
Other values (4)	5	0.4%

runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	27
Distinct (%)	54.0%
Missing	6
Missing (%)	10.7%
Infinite	0
Infinite (%)	0.0%
Mean	47.74

Minimum	5
Maximum	188
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	576.0 B

Quantile statistics

Minimum	5
5-th percentile	10.9
Q1	22
median	43.5
Q3	45
95-th percentile	120
Maximum	188
Range	183
Interquartile range (IQR)	23

Descriptive statistics

Standard deviation	39.49001941
Coefficient of variation (CV)	0.8271893466
Kurtosis	4.591702338
Mean	47.74
Median Absolute Deviation (MAD)	16.5
Skewness	2.086217074
Sum	2387
Variance	1559.461633
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=27)

Value	Count	Frequency (%)
45	11	19.6%
120	4	7.1%
15	3	5.4%
60	3	5.4%
22	3	5.4%
40	2	3.6%
42	2	3.6%
44	2	3.6%
30	2	3.6%
63	1	1.8%
Other values (17)	17	30.4%
(Missing)	6	10.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	1	1.8%
8	1	1.8%
10	1	1.8%
12	1	1.8%
14	1	1.8%
15	3	5.4%
18	1	1.8%
20	1	1.8%
21	1	1.8%
22	3	5.4%

Value	Count	Frequency (%)
188	1	1.8%
180	1	1.8%
120	4	7.1%
63	1	1.8%
62	1	1.8%
60	3	5.4%
54	1	1.8%
45	11	19.6%
44	2	3.6%
43	1	1.8%

summary
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	17.9%
Missing	0
Missing (%)	0.0%
Memory size	576.0 B

nan	47
<p>Märtha ends up in a quandary when the president announces that he wants to support Norway and asks her to say how she feels about him.</p>	1
<p>When a local teenager suddenly disappears, Elena explores Father Vergara's possible connection. As more untimely deaths befall the town, Marquess Roque presents Elena with an enticing job offer, and Merche urges Paco to keep his distance.</p>	1
<p>Monica follows up a lead given to her at a party, visiting the co-workers of a man they describe as a pervert.</p>	1
<p>As the death toll rises, THE GEORGE LUCAS TALK SHOW continues to deliver quality livestream content from the digital safety of PLANET SCUM. Retired filmmaker GEORGE LUCAS (notoriously dead-eyed character actor CONNOR RATLIFF) and his CGI co-host WATTO (GRIFFIN NEWMAN, co-lead on Amazon's THE TICK) welcome guests and have fun while actively NOT spreading a disease. They are joined, as always, by snack-snacking, nap-napping producer PATRICK COTNOIR (aka Nickname Jokenoir) whose druthers include you following him on twitter RIGHT NOW: @patrickcotnoir Only a few weeks left in 2020. Who knows what fresh hell awaits us in 2021? Dot dot dot dot..</p>	1
Other values (5)	5

Length

Max length	654
Median length	3
Mean length	46.80357143
Min length	3

Characters and Unicode

Total characters	2621
Distinct characters	73
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9 ?
Unique (%)	16.1%

Sample

1st row	nan
2nd row	nan
3rd row	nan
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	47	83.9%
<p>Märtha ends up in a quandary when the president announces that he wants to support Norway and asks her to say how she feels about him.</p>	1	1.8%
<p>When a local teenager suddenly disappears, Elena explores Father Vergara's possible connection. As more untimely deaths befall the town, Marquess Roque presents Elena with an enticing job offer, and Merche urges Paco to keep his distance.</p>	1	1.8%
<p>Monica follows up a lead given to her at a party, visiting the co-workers of a man they describe as a pervert.</p>	1	1.8%
<p>As the death toll rises, THE GEORGE LUCAS TALK SHOW continues to deliver quality livestream content from the digital safety of PLANET SCUM. Retired filmmaker GEORGE LUCAS (notoriously dead-eyed character actor CONNOR RATLIFF) and his CGI co-host WATTO (GRIFFIN NEWMAN, co-lead on Amazon's THE TICK) welcome guests and have fun while actively NOT spreading a disease. They are joined, as always, by snack-snacking, nap-napping producer PATRICK COTNOIR (aka Nickname Jokenoir) whose druthers include you following him on twitter RIGHT NOW: @patrickcotnoir Only a few weeks left in 2020. Who knows what fresh hell awaits us in 2021? Dot dot dot dot..</p>	1	1.8%
<p>Ghost Dimension's Bex and Sean investigate Chillingham Castle for a Halloween investigation. The most haunted castle in the world. Reports of paranormal activity are daily here, so what will the team manage to capture tonight? as they prepare to spend the night with the ghosts.</p>	1	1.8%
<p>The crew escaped, barely to the Wistful Wish, while their squiggly pursuers decide to fight instead of flee, and well…see how it worked out for them. Incidents on board also let us see snippets of Ilay & Cycla-919's pasts.</p>	1	1.8%
<p>Truths come out and accusations fly when members of the TikTok creator mansion turn against one of their own, proving it's every person for themselves.</p>	1	1.8%
<p>IDOLiSH7 is accused of appropriating Zero's songs, so Takanashi Production holds a press conference. Nagi volunteers to face the press and explains that he was officially given the rights to the song by composer Sakura Haruki. However, a suspicious man dressed as Zero appears at the press conference, aggravating the scandal.</p>	1	1.8%
<p>On a journey to find love, Chance invites 15 beautiful "ladies" into his home. Each week he will put the hopefuls through various challenges to test their compatibility among other things. However, with constant infighting between the contestants, will Chance be able to finally find his happily ever after?</p>	1	1.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
nan	47	10.7%
the	21	4.8%
to	14	3.2%
a	12	2.7%
of	8	1.8%
and	8	1.8%
as	5	1.1%
in	4	0.9%
his	4	0.9%
with	3	0.7%
Other values (276)	315	71.4%

Most occurring characters

Value	Count	Frequency (%)
	385	14.7%
e	220	8.4%
n	220	8.4%
a	205	7.8%
t	153	5.8%
s	138	5.3%
o	134	5.1%
i	121	4.6%
r	101	3.9%
h	93	3.5%
Other values (63)	851	32.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1940	74.0%
Space Separator	385	14.7%
Uppercase Letter	168	6.4%
Other Punctuation	65	2.5%
Math Symbol	36	1.4%
Decimal Number	14	0.5%
Dash Punctuation	7	0.3%
Open Punctuation	3	0.1%
Close Punctuation	3	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	220	11.3%
n	220	11.3%
a	205	10.6%
t	153	7.9%
s	138	7.1%
o	134	6.9%
i	121	6.2%
r	101	5.2%
h	93	4.8%
l	79	4.1%
Other values (17)	476	24.5%

Uppercase Letter

Value	Count	Frequency (%)
T	19	11.3%
C	13	7.7%
O	13	7.7%
N	12	7.1%
E	11	6.5%
I	11	6.5%
A	11	6.5%
R	11	6.5%
H	9	5.4%
W	8	4.8%
Other values (13)	50	29.8%

Other Punctuation

Value	Count	Frequency (%)
,	20	30.8%
.	20	30.8%
/	9	13.8%
'	6	9.2%
?	3	4.6%
"	2	3.1%
:	1	1.5%
…	1	1.5%
&	1	1.5%
;	1	1.5%

Decimal Number

Value	Count	Frequency (%)
2	4	28.6%
0	3	21.4%
1	3	21.4%
9	2	14.3%
7	1	7.1%
5	1	7.1%

Math Symbol

Value	Count	Frequency (%)
>	18	50.0%
<	18	50.0%

Space Separator

Value	Count	Frequency (%)
	385	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	7	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	3	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2108	80.4%
Common	513	19.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	220	10.4%
n	220	10.4%
a	205	9.7%
t	153	7.3%
s	138	6.5%
o	134	6.4%
i	121	5.7%
r	101	4.8%
h	93	4.4%
l	79	3.7%
Other values (40)	644	30.6%

Common

Value	Count	Frequency (%)
	385	75.0%
,	20	3.9%
.	20	3.9%
>	18	3.5%
<	18	3.5%
/	9	1.8%
-	7	1.4%
'	6	1.2%
2	4	0.8%
0	3	0.6%
Other values (13)	23	4.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2619	99.9%
Punctuation	1	< 0.1%
None	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	385	14.7%
e	220	8.4%
n	220	8.4%
a	205	7.8%
t	153	5.8%
s	138	5.3%
o	134	5.1%
i	121	4.6%
r	101	3.9%
h	93	3.6%
Other values (61)	849	32.4%

Punctuation

Value	Count	Frequency (%)
…	1	100.0%

None

Value	Count	Frequency (%)
ä	1	100.0%

_embedded_show_id
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	45
Distinct (%)	80.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	43886.19643

Minimum	2266
Maximum	61755
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	576.0 B

Quantile statistics

Minimum	2266
5-th percentile	21857.75
Q1	33039.75
median	49844
Q3	52370
95-th percentile	58616.5
Maximum	61755
Range	59489
Interquartile range (IQR)	19330.25

Descriptive statistics

Standard deviation	12959.54443
Coefficient of variation (CV)	0.2952988749
Kurtosis	1.24527437
Mean	43886.19643
Median Absolute Deviation (MAD)	6389.5
Skewness	-1.177620223
Sum	2457627
Variance	167949791.8
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=45)

Value	Count	Frequency (%)
31770	8	14.3%
52303	3	5.4%
34940	2	3.6%
52571	2	3.6%
48597	1	1.8%
58356	1	1.8%
52737	1	1.8%
52858	1	1.8%
53338	1	1.8%
53890	1	1.8%
Other values (35)	35	62.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2266	1	1.8%
7591	1	1.8%
18752	1	1.8%
22893	1	1.8%
24963	1	1.8%
30606	1	1.8%
31770	8	14.3%
33463	1	1.8%
34940	2	3.6%
36907	1	1.8%

Value	Count	Frequency (%)
61755	1	1.8%
59951	1	1.8%
59398	1	1.8%
58356	1	1.8%
57874	1	1.8%
55986	1	1.8%
54789	1	1.8%
54033	1	1.8%
53890	1	1.8%
53338	1	1.8%

_embedded_show_url
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	45
Distinct (%)	80.4%
Missing	0
Missing (%)	0.0%
Memory size	576.0 B

https://www.tvmaze.com/shows/31770/meisje-van-plezier	8
https://www.tvmaze.com/shows/52303/pappas-pojkar	3
https://www.tvmaze.com/shows/34940/fancy-nancy	2
https://www.tvmaze.com/shows/52571/lassemajas-detektivbyra	2
https://www.tvmaze.com/shows/48597/manaki	1
Other values (40)	40

Length

Max length	77
Median length	60
Mean length	50.875
Min length	40

Characters and Unicode

Total characters	2849
Distinct characters	39
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	41 ?
Unique (%)	73.2%

Sample

1st row	https://www.tvmaze.com/shows/48597/manaki
2nd row	https://www.tvmaze.com/shows/51471/hero-return
3rd row	https://www.tvmaze.com/shows/52178/swallowed-star
4th row	https://www.tvmaze.com/shows/54033/wu-shen-zhu-zai
5th row	https://www.tvmaze.com/shows/49740/tokyo-joshi-pro-wrestling

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/31770/meisje-van-plezier	8	14.3%
https://www.tvmaze.com/shows/52303/pappas-pojkar	3	5.4%
https://www.tvmaze.com/shows/34940/fancy-nancy	2	3.6%
https://www.tvmaze.com/shows/52571/lassemajas-detektivbyra	2	3.6%
https://www.tvmaze.com/shows/48597/manaki	1	1.8%
https://www.tvmaze.com/shows/58356/into-the-mother-lands	1	1.8%
https://www.tvmaze.com/shows/52737/the-george-lucas-talk-show	1	1.8%
https://www.tvmaze.com/shows/52858/laikykites-ten	1	1.8%
https://www.tvmaze.com/shows/53338/el-anesa-farah	1	1.8%
https://www.tvmaze.com/shows/53890/ghost-dimension-lock-down	1	1.8%
Other values (35)	35	62.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/31770/meisje-van-plezier	8	14.3%
https://www.tvmaze.com/shows/52303/pappas-pojkar	3	5.4%
https://www.tvmaze.com/shows/34940/fancy-nancy	2	3.6%
https://www.tvmaze.com/shows/52571/lassemajas-detektivbyra	2	3.6%
https://www.tvmaze.com/shows/51812/norge-i-krise	1	1.8%
https://www.tvmaze.com/shows/52178/swallowed-star	1	1.8%
https://www.tvmaze.com/shows/54033/wu-shen-zhu-zai	1	1.8%
https://www.tvmaze.com/shows/49740/tokyo-joshi-pro-wrestling	1	1.8%
https://www.tvmaze.com/shows/50398/mans-diary	1	1.8%
https://www.tvmaze.com/shows/44659/atlantic-crossing	1	1.8%
Other values (35)	35	62.5%

Most occurring characters

Value	Count	Frequency (%)
/	280	9.8%
w	240	8.4%
s	223	7.8%
t	208	7.3%
o	162	5.7%
e	151	5.3%
m	139	4.9%
a	135	4.7%
h	131	4.6%
.	112	3.9%
Other values (29)	1068	37.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2024	71.0%
Other Punctuation	448	15.7%
Decimal Number	284	10.0%
Dash Punctuation	93	3.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
w	240	11.9%
s	223	11.0%
t	208	10.3%
o	162	8.0%
e	151	7.5%
m	139	6.9%
a	135	6.7%
h	131	6.5%
p	90	4.4%
c	77	3.8%
Other values (15)	468	23.1%

Decimal Number

Value	Count	Frequency (%)
3	41	14.4%
5	41	14.4%
7	35	12.3%
4	31	10.9%
1	27	9.5%
9	27	9.5%
2	25	8.8%
0	24	8.5%
8	20	7.0%
6	13	4.6%

Other Punctuation

Value	Count	Frequency (%)
/	280	62.5%
.	112	25.0%
:	56	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	93	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2024	71.0%
Common	825	29.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
w	240	11.9%
s	223	11.0%
t	208	10.3%
o	162	8.0%
e	151	7.5%
m	139	6.9%
a	135	6.7%
h	131	6.5%
p	90	4.4%
c	77	3.8%
Other values (15)	468	23.1%

Common

Value	Count	Frequency (%)
/	280	33.9%
.	112	13.6%
-	93	11.3%
:	56	6.8%
3	41	5.0%
5	41	5.0%
7	35	4.2%
4	31	3.8%
1	27	3.3%
9	27	3.3%
Other values (4)	82	9.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2849	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	280	9.8%
w	240	8.4%
s	223	7.8%
t	208	7.3%
o	162	5.7%
e	151	5.3%
m	139	4.9%
a	135	4.7%
h	131	4.6%
.	112	3.9%
Other values (29)	1068	37.5%

_embedded_show_name
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	45
Distinct (%)	80.4%
Missing	0
Missing (%)	0.0%
Memory size	576.0 B

Meisje van Plezier	8
Pappas pojkar	3
Fancy Nancy	2
LasseMajas Detektivbyrå	2
Маньяки	1
Other values (40)	40

Length

Max length	43
Median length	23
Mean length	16.19642857
Min length	5

Characters and Unicode

Total characters	907
Distinct characters	91
Distinct categories	8 ?
Distinct scripts	3 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	41 ?
Unique (%)	73.2%

Sample

1st row	Маньяки
2nd row	Hero Return
3rd row	Swallowed Star
4th row	Wu Shen Zhu Zai
5th row	Tokyo Joshi Pro Wrestling

Common Values

Value	Count	Frequency (%)
Meisje van Plezier	8	14.3%
Pappas pojkar	3	5.4%
Fancy Nancy	2	3.6%
LasseMajas Detektivbyrå	2	3.6%
Маньяки	1	1.8%
Into the Mother Lands	1	1.8%
The George Lucas Talk Show	1	1.8%
Laikykitės Ten	1	1.8%
El Anesa Farah	1	1.8%
Ghost Dimension Lock Down	1	1.8%
Other values (35)	35	62.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
meisje	8	5.4%
plezier	8	5.4%
van	8	5.4%
pojkar	3	2.0%
the	3	2.0%
pappas	3	2.0%
nancy	2	1.3%
wrestling	2	1.3%
wwe	2	1.3%
fancy	2	1.3%
Other values (104)	108	72.5%

Most occurring characters

Value	Count	Frequency (%)
	93	10.3%
e	89	9.8%
a	60	6.6%
i	55	6.1%
n	53	5.8%
r	45	5.0%
s	44	4.9%
o	41	4.5%
t	29	3.2%
l	27	3.0%
Other values (81)	371	40.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	654	72.1%
Uppercase Letter	140	15.4%
Space Separator	93	10.3%
Other Punctuation	9	1.0%
Decimal Number	6	0.7%
Close Punctuation	2	0.2%
Currency Symbol	2	0.2%
Open Punctuation	1	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	89	13.6%
a	60	9.2%
i	55	8.4%
n	53	8.1%
r	45	6.9%
s	44	6.7%
o	41	6.3%
t	29	4.4%
l	27	4.1%
p	18	2.8%
Other values (39)	193	29.5%

Uppercase Letter

Value	Count	Frequency (%)
M	16	11.4%
P	15	10.7%
T	11	7.9%
W	9	6.4%
S	9	6.4%
D	8	5.7%
A	8	5.7%
L	8	5.7%
F	7	5.0%
N	6	4.3%
Other values (17)	43	30.7%

Other Punctuation

Value	Count	Frequency (%)
'	5	55.6%
#	1	11.1%
@	1	11.1%
?	1	11.1%
:	1	11.1%

Decimal Number

Value	Count	Frequency (%)
0	2	33.3%
4	1	16.7%
2	1	16.7%
3	1	16.7%
7	1	16.7%

Currency Symbol

Value	Count	Frequency (%)
₴	1	50.0%
$	1	50.0%

Space Separator

Value	Count	Frequency (%)
	93	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	755	83.2%
Common	113	12.5%
Cyrillic	39	4.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	89	11.8%
a	60	7.9%
i	55	7.3%
n	53	7.0%
r	45	6.0%
s	44	5.8%
o	41	5.4%
t	29	3.8%
l	27	3.6%
p	18	2.4%
Other values (43)	294	38.9%

Cyrillic

Value	Count	Frequency (%)
и	4	10.3%
а	4	10.3%
к	3	7.7%
м	3	7.7%
о	2	5.1%
е	2	5.1%
у	2	5.1%
я	2	5.1%
М	2	5.1%
ь	2	5.1%
Other values (13)	13	33.3%

Common

Value	Count	Frequency (%)
	93	82.3%
'	5	4.4%
0	2	1.8%
)	2	1.8%
4	1	0.9%
#	1	0.9%
@	1	0.9%
₴	1	0.9%
?	1	0.9%
$	1	0.9%
Other values (5)	5	4.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	859	94.7%
Cyrillic	39	4.3%
None	8	0.9%
Currency Symbols	1	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	93	10.8%
e	89	10.4%
a	60	7.0%
i	55	6.4%
n	53	6.2%
r	45	5.2%
s	44	5.1%
o	41	4.8%
t	29	3.4%
l	27	3.1%
Other values (52)	323	37.6%

Cyrillic

Value	Count	Frequency (%)
и	4	10.3%
а	4	10.3%
к	3	7.7%
м	3	7.7%
о	2	5.1%
е	2	5.1%
у	2	5.1%
я	2	5.1%
М	2	5.1%
ь	2	5.1%
Other values (13)	13	33.3%

None

Value	Count	Frequency (%)
å	3	37.5%
á	2	25.0%
ö	1	12.5%
ø	1	12.5%
ė	1	12.5%

Currency Symbols

Value	Count	Frequency (%)
₴	1	100.0%

_embedded_show_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	8
Distinct (%)	14.3%
Missing	0
Missing (%)	0.0%
Memory size	576.0 B

Scripted	26
Documentary	7
Animation	7
Sports	5
Talk Show	5
Other values (3)	6

Length

Max length	11
Median length	9
Mean length	8.232142857
Min length	4

Characters and Unicode

Total characters	461
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	1.8%

Sample

1st row	Documentary
2nd row	Animation
3rd row	Animation
4th row	Animation
5th row	Sports

Common Values

Value	Count	Frequency (%)
Scripted	26	46.4%
Documentary	7	12.5%
Animation	7	12.5%
Sports	5	8.9%
Talk Show	5	8.9%
Reality	3	5.4%
News	2	3.6%
Game Show	1	1.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
scripted	26	41.9%
documentary	7	11.3%
animation	7	11.3%
show	6	9.7%
sports	5	8.1%
talk	5	8.1%
reality	3	4.8%
news	2	3.2%
game	1	1.6%

Most occurring characters

Value	Count	Frequency (%)
t	48	10.4%
i	43	9.3%
e	39	8.5%
r	38	8.2%
S	37	8.0%
c	33	7.2%
p	31	6.7%
d	26	5.6%
o	25	5.4%
a	23	5.0%
Other values (16)	118	25.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	393	85.2%
Uppercase Letter	62	13.4%
Space Separator	6	1.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	48	12.2%
i	43	10.9%
e	39	9.9%
r	38	9.7%
c	33	8.4%
p	31	7.9%
d	26	6.6%
o	25	6.4%
a	23	5.9%
n	21	5.3%
Other values (8)	66	16.8%

Uppercase Letter

Value	Count	Frequency (%)
S	37	59.7%
D	7	11.3%
A	7	11.3%
T	5	8.1%
R	3	4.8%
N	2	3.2%
G	1	1.6%

Space Separator

Value	Count	Frequency (%)
	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	455	98.7%
Common	6	1.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	48	10.5%
i	43	9.5%
e	39	8.6%
r	38	8.4%
S	37	8.1%
c	33	7.3%
p	31	6.8%
d	26	5.7%
o	25	5.5%
a	23	5.1%
Other values (15)	112	24.6%

Common

Value	Count	Frequency (%)
	6	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	461	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	48	10.4%
i	43	9.3%
e	39	8.5%
r	38	8.2%
S	37	8.0%
c	33	7.2%
p	31	6.7%
d	26	5.6%
o	25	5.4%
a	23	5.0%
Other values (16)	118	25.6%

_embedded_show_language
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	16
Distinct (%)	28.6%
Missing	0
Missing (%)	0.0%
Memory size	576.0 B

English	14
Dutch	8
Swedish	6
Norwegian	5
Russian	4
Other values (11)	19

Length

Max length	10
Median length	7
Mean length	7.053571429
Min length	5

Characters and Unicode

Total characters	395
Distinct characters	32
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	12.5%

Sample

1st row	Russian
2nd row	Chinese
3rd row	Chinese
4th row	Chinese
5th row	Japanese

Common Values

Value	Count	Frequency (%)
English	14	25.0%
Dutch	8	14.3%
Swedish	6	10.7%
Norwegian	5	8.9%
Russian	4	7.1%
Chinese	4	7.1%
Japanese	4	7.1%
Spanish	2	3.6%
Arabic	2	3.6%
Korean	1	1.8%
Other values (6)	6	10.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
english	14	25.0%
dutch	8	14.3%
swedish	6	10.7%
norwegian	5	8.9%
russian	4	7.1%
chinese	4	7.1%
japanese	4	7.1%
spanish	2	3.6%
arabic	2	3.6%
korean	1	1.8%
Other values (6)	6	10.7%

Most occurring characters

Value	Count	Frequency (%)
i	43	10.9%
n	41	10.4%
s	40	10.1%
h	36	9.1%
a	31	7.8%
e	30	7.6%
g	22	5.6%
l	15	3.8%
u	15	3.8%
E	14	3.5%
Other values (22)	108	27.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	339	85.8%
Uppercase Letter	56	14.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	43	12.7%
n	41	12.1%
s	40	11.8%
h	36	10.6%
a	31	9.1%
e	30	8.8%
g	22	6.5%
l	15	4.4%
u	15	4.4%
w	11	3.2%
Other values (9)	55	16.2%

Uppercase Letter

Value	Count	Frequency (%)
E	14	25.0%
D	9	16.1%
S	8	14.3%
N	5	8.9%
R	5	8.9%
C	4	7.1%
J	4	7.1%
A	2	3.6%
K	1	1.8%
U	1	1.8%
Other values (3)	3	5.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	395	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	43	10.9%
n	41	10.4%
s	40	10.1%
h	36	9.1%
a	31	7.8%
e	30	7.6%
g	22	5.6%
l	15	3.8%
u	15	3.8%
E	14	3.5%
Other values (22)	108	27.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	395	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	43	10.9%
n	41	10.4%
s	40	10.1%
h	36	9.1%
a	31	7.8%
e	30	7.6%
g	22	5.6%
l	15	3.8%
u	15	3.8%
E	14	3.5%
Other values (22)	108	27.3%

_embedded_show_genres
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	25
Distinct (%)	44.6%
Missing	0
Missing (%)	0.0%
Memory size	576.0 B

[]	16
['Drama', 'Adult']	8
['Comedy']	7
['Comedy', 'Adventure', 'Children']	2
['Sports']	2
Other values (20)	21

Length

Max length	43
Median length	35
Mean length	15.67857143
Min length	2

Characters and Unicode

Total characters	878
Distinct characters	33
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	19 ?
Unique (%)	33.9%

Sample

1st row	[]
2nd row	['Action', 'Anime', 'Science-Fiction']
3rd row	['Anime', 'Science-Fiction']
4th row	['Action', 'Adventure', 'Anime', 'Fantasy']
5th row	[]

Common Values

Value	Count	Frequency (%)
[]	16	28.6%
['Drama', 'Adult']	8	14.3%
['Comedy']	7	12.5%
['Comedy', 'Adventure', 'Children']	2	3.6%
['Sports']	2	3.6%
['Drama', 'Family', 'Mystery']	2	3.6%
['Drama', 'Children', 'Family']	1	1.8%
['Comedy', 'Romance']	1	1.8%
['Anime', 'Science-Fiction']	1	1.8%
['Anime', 'Music']	1	1.8%
Other values (15)	15	26.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
drama	17	17.3%
	16	16.3%
comedy	14	14.3%
adult	8	8.2%
anime	5	5.1%
children	4	4.1%
family	4	4.1%
mystery	4	4.1%
sports	3	3.1%
romance	3	3.1%
Other values (11)	20	20.4%

Most occurring characters

Value	Count	Frequency (%)
'	164	18.7%
[	56	6.4%
]	56	6.4%
a	46	5.2%
e	46	5.2%
r	46	5.2%
m	45	5.1%
,	42	4.8%
	42	4.8%
o	32	3.6%
Other values (23)	303	34.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	430	49.0%
Other Punctuation	206	23.5%
Uppercase Letter	85	9.7%
Open Punctuation	56	6.4%
Close Punctuation	56	6.4%
Space Separator	42	4.8%
Dash Punctuation	3	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	46	10.7%
e	46	10.7%
r	46	10.7%
m	45	10.5%
o	32	7.4%
i	31	7.2%
d	29	6.7%
y	29	6.7%
t	28	6.5%
n	26	6.0%
Other values (7)	72	16.7%

Uppercase Letter

Value	Count	Frequency (%)
C	20	23.5%
A	19	22.4%
D	17	20.0%
F	8	9.4%
S	7	8.2%
M	5	5.9%
H	4	4.7%
R	3	3.5%
T	1	1.2%
W	1	1.2%

Other Punctuation

Value	Count	Frequency (%)
'	164	79.6%
,	42	20.4%

Open Punctuation

Value	Count	Frequency (%)
[	56	100.0%

Close Punctuation

Value	Count	Frequency (%)
]	56	100.0%

Space Separator

Value	Count	Frequency (%)
	42	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	515	58.7%
Common	363	41.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	46	8.9%
e	46	8.9%
r	46	8.9%
m	45	8.7%
o	32	6.2%
i	31	6.0%
d	29	5.6%
y	29	5.6%
t	28	5.4%
n	26	5.0%
Other values (17)	157	30.5%

Common

Value	Count	Frequency (%)
'	164	45.2%
[	56	15.4%
]	56	15.4%
,	42	11.6%
	42	11.6%
-	3	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	878	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
'	164	18.7%
[	56	6.4%
]	56	6.4%
a	46	5.2%
e	46	5.2%
r	46	5.2%
m	45	5.1%
,	42	4.8%
	42	4.8%
o	32	3.6%
Other values (23)	303	34.5%

_embedded_show_status
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	5.4%
Missing	0
Missing (%)	0.0%
Memory size	576.0 B

Running	44
Ended	7
To Be Determined	5

Length

Max length	16
Median length	7
Mean length	7.553571429
Min length	5

Characters and Unicode

Total characters	423
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Running
2nd row	Running
3rd row	Running
4th row	Running
5th row	Running

Common Values

Value	Count	Frequency (%)
Running	44	78.6%
Ended	7	12.5%
To Be Determined	5	8.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
running	44	66.7%
ended	7	10.6%
to	5	7.6%
be	5	7.6%
determined	5	7.6%

Most occurring characters

Value	Count	Frequency (%)
n	144	34.0%
i	49	11.6%
R	44	10.4%
u	44	10.4%
g	44	10.4%
e	27	6.4%
d	19	4.5%
	10	2.4%
E	7	1.7%
T	5	1.2%
Other values (6)	30	7.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	347	82.0%
Uppercase Letter	66	15.6%
Space Separator	10	2.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	144	41.5%
i	49	14.1%
u	44	12.7%
g	44	12.7%
e	27	7.8%
d	19	5.5%
o	5	1.4%
t	5	1.4%
r	5	1.4%
m	5	1.4%

Uppercase Letter

Value	Count	Frequency (%)
R	44	66.7%
E	7	10.6%
T	5	7.6%
B	5	7.6%
D	5	7.6%

Space Separator

Value	Count	Frequency (%)
	10	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	413	97.6%
Common	10	2.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	144	34.9%
i	49	11.9%
R	44	10.7%
u	44	10.7%
g	44	10.7%
e	27	6.5%
d	19	4.6%
E	7	1.7%
T	5	1.2%
o	5	1.2%
Other values (5)	25	6.1%

Common

Value	Count	Frequency (%)
	10	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	423	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	144	34.0%
i	49	11.6%
R	44	10.4%
u	44	10.4%
g	44	10.4%
e	27	6.4%
d	19	4.5%
	10	2.4%
E	7	1.7%
T	5	1.2%
Other values (6)	30	7.1%

_embedded_show_runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	14
Distinct (%)	31.8%
Missing	12
Missing (%)	21.4%
Infinite	0
Infinite (%)	0.0%
Mean	48.11363636

Minimum	8
Maximum	180
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	576.0 B

Quantile statistics

Minimum	8
5-th percentile	12.45
Q1	22
median	43.5
Q3	46.25
95-th percentile	120
Maximum	180
Range	172
Interquartile range (IQR)	24.25

Descriptive statistics

Standard deviation	36.71082212
Coefficient of variation (CV)	0.7630024437
Kurtosis	3.400343047
Mean	48.11363636
Median Absolute Deviation (MAD)	16.5
Skewness	1.837736289
Sum	2117
Variance	1347.684461
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
45	11	19.6%
120	5	8.9%
60	4	7.1%
30	4	7.1%
40	3	5.4%
15	3	5.4%
20	3	5.4%
22	3	5.4%
12	2	3.6%
42	2	3.6%
Other values (4)	4	7.1%
(Missing)	12	21.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
8	1	1.8%
12	2	3.6%
15	3	5.4%
20	3	5.4%
22	3	5.4%
25	1	1.8%
30	4	7.1%
40	3	5.4%
42	2	3.6%
45	11	19.6%

Value	Count	Frequency (%)
180	1	1.8%
120	5	8.9%
60	4	7.1%
50	1	1.8%
45	11	19.6%
42	2	3.6%
40	3	5.4%
30	4	7.1%
25	1	1.8%
22	3	5.4%

_embedded_show_averageRuntime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	28
Distinct (%)	53.8%
Missing	4
Missing (%)	7.1%
Infinite	0
Infinite (%)	0.0%
Mean	46.84615385

Minimum	5
Maximum	188
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	576.0 B

Quantile statistics

Minimum	5
5-th percentile	10.65
Q1	22
median	42
Q3	55.5
95-th percentile	120
Maximum	188
Range	183
Interquartile range (IQR)	33.5

Descriptive statistics

Standard deviation	34.95003976
Coefficient of variation (CV)	0.746059962
Kurtosis	4.729427638
Mean	46.84615385
Median Absolute Deviation (MAD)	16
Skewness	1.925749485
Sum	2436
Variance	1221.505279
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
48	8	14.3%
120	4	7.1%
22	3	5.4%
29	3	5.4%
40	2	3.6%
15	2	3.6%
57	2	3.6%
45	2	3.6%
30	2	3.6%
60	2	3.6%
Other values (18)	22	39.3%
(Missing)	4	7.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	1	1.8%
8	1	1.8%
9	1	1.8%
12	2	3.6%
15	2	3.6%
16	1	1.8%
20	2	3.6%
21	1	1.8%
22	3	5.4%
25	1	1.8%

Value	Count	Frequency (%)
188	1	1.8%
120	4	7.1%
97	1	1.8%
75	1	1.8%
64	1	1.8%
60	2	3.6%
59	1	1.8%
57	2	3.6%
55	1	1.8%
48	8	14.3%

_embedded_show_premiered
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	39
Distinct (%)	69.6%
Missing	0
Missing (%)	0.0%
Memory size	576.0 B

2017-09-10	8
2020-12-06	5
2020-11-29	4
2020-11-22	3
2018-07-13	2
Other values (34)	34

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	560
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	34 ?
Unique (%)	60.7%

Sample

1st row	2020-05-22
2nd row	2020-10-18
3rd row	2020-11-29
4th row	2020-03-08
5th row	2013-01-30

Common Values

Value	Count	Frequency (%)
2017-09-10	8	14.3%
2020-12-06	5	8.9%
2020-11-29	4	7.1%
2020-11-22	3	5.4%
2018-07-13	2	3.6%
2019-07-29	1	1.8%
2018-10-11	1	1.8%
2020-05-04	1	1.8%
2016-09-11	1	1.8%
2019-12-29	1	1.8%
Other values (29)	29	51.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2017-09-10	8	14.3%
2020-12-06	5	8.9%
2020-11-29	4	7.1%
2020-11-22	3	5.4%
2018-07-13	2	3.6%
2020-10-13	1	1.8%
2020-03-08	1	1.8%
2013-01-30	1	1.8%
2019-07-21	1	1.8%
2020-10-25	1	1.8%
Other values (29)	29	51.8%

Most occurring characters

Value	Count	Frequency (%)
0	149	26.6%
2	118	21.1%
-	112	20.0%
1	98	17.5%
9	23	4.1%
7	16	2.9%
6	12	2.1%
8	10	1.8%
3	9	1.6%
5	8	1.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	448	80.0%
Dash Punctuation	112	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	149	33.3%
2	118	26.3%
1	98	21.9%
9	23	5.1%
7	16	3.6%
6	12	2.7%
8	10	2.2%
3	9	2.0%
5	8	1.8%
4	5	1.1%

Dash Punctuation

Value	Count	Frequency (%)
-	112	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	560	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	149	26.6%
2	118	21.1%
-	112	20.0%
1	98	17.5%
9	23	4.1%
7	16	2.9%
6	12	2.1%
8	10	1.8%
3	9	1.6%
5	8	1.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	560	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	149	26.6%
2	118	21.1%
-	112	20.0%
1	98	17.5%
9	23	4.1%
7	16	2.9%
6	12	2.1%
8	10	1.8%
3	9	1.6%
5	8	1.4%

_embedded_show_ended
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	7
Distinct (%)	12.5%
Missing	0
Missing (%)	0.0%
Memory size	576.0 B

nan	49
2020-12-13	2
2020-12-24	1
2020-12-27	1
2021-03-13	1
Other values (2)	2

Length

Max length	10
Median length	3
Mean length	3.875
Min length	3

Characters and Unicode

Total characters	217
Distinct characters	10
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	8.9%

Sample

1st row	nan
2nd row	nan
3rd row	nan
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	49	87.5%
2020-12-13	2	3.6%
2020-12-24	1	1.8%
2020-12-27	1	1.8%
2021-03-13	1	1.8%
2021-01-31	1	1.8%
2021-11-28	1	1.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
nan	49	87.5%
2020-12-13	2	3.6%
2020-12-24	1	1.8%
2020-12-27	1	1.8%
2021-03-13	1	1.8%
2021-01-31	1	1.8%
2021-11-28	1	1.8%

Most occurring characters

Value	Count	Frequency (%)
n	98	45.2%
a	49	22.6%
2	21	9.7%
-	14	6.5%
1	14	6.5%
0	13	6.0%
3	5	2.3%
4	1	0.5%
7	1	0.5%
8	1	0.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	147	67.7%
Decimal Number	56	25.8%
Dash Punctuation	14	6.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	21	37.5%
1	14	25.0%
0	13	23.2%
3	5	8.9%
4	1	1.8%
7	1	1.8%
8	1	1.8%

Lowercase Letter

Value	Count	Frequency (%)
n	98	66.7%
a	49	33.3%

Dash Punctuation

Value	Count	Frequency (%)
-	14	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	147	67.7%
Common	70	32.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	21	30.0%
-	14	20.0%
1	14	20.0%
0	13	18.6%
3	5	7.1%
4	1	1.4%
7	1	1.4%
8	1	1.4%

Latin

Value	Count	Frequency (%)
n	98	66.7%
a	49	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	217	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	98	45.2%
a	49	22.6%
2	21	9.7%
-	14	6.5%
1	14	6.5%
0	13	6.0%
3	5	2.3%
4	1	0.5%
7	1	0.5%
8	1	0.5%

_embedded_show_officialSite
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	45
Distinct (%)	80.4%
Missing	0
Missing (%)	0.0%
Memory size	576.0 B

https://www.videoland.com/series/1062/meisje-van-plezier/1976	8
https://www.discoveryplus.se/program/pappas-pojkar	3
https://disneynow.com/shows/fancy-nancy	2
https://www.cmore.se/serie/208411-lassemajas-detektivbyra	2
https://premier.one/show/12420	1
Other values (40)	40

Length

Max length	85
Median length	59
Mean length	48.64285714
Min length	3

Characters and Unicode

Total characters	2724
Distinct characters	68
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	41 ?
Unique (%)	73.2%

Sample

1st row	https://premier.one/show/12420
2nd row	https://v.qq.com/detail/q/q72jd29a3oxflsr.html
3rd row	https://v.qq.com/detail/3/324olz7ilvo2j5f.html
4th row	https://v.qq.com/detail/m/7q544xyrava3vxf.html
5th row	https://www.ddtpro.com/

Common Values

Value	Count	Frequency (%)
https://www.videoland.com/series/1062/meisje-van-plezier/1976	8	14.3%
https://www.discoveryplus.se/program/pappas-pojkar	3	5.4%
https://disneynow.com/shows/fancy-nancy	2	3.6%
https://www.cmore.se/serie/208411-lassemajas-detektivbyra	2	3.6%
https://premier.one/show/12420	1	1.8%
https://motherlandsrpg.com	1	1.8%
https://www.patrickcotnoir.com/glts	1	1.8%
http://www.laisves.tv	1	1.8%
https://shahid.mbc.net/en/series/Al-Anisa-Farah/series-393634	1	1.8%
https://www.amazon.co.uk/Ghost-Dimension-Lock-Down/dp/B08NVYQ73R	1	1.8%
Other values (35)	35	62.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.videoland.com/series/1062/meisje-van-plezier/1976	8	14.3%
https://www.discoveryplus.se/program/pappas-pojkar	3	5.4%
https://disneynow.com/shows/fancy-nancy	2	3.6%
https://www.cmore.se/serie/208411-lassemajas-detektivbyra	2	3.6%
https://sumo.tv2.no/programmer/fakta/norge-i-krise	1	1.8%
https://v.qq.com/detail/3/324olz7ilvo2j5f.html	1	1.8%
https://v.qq.com/detail/m/7q544xyrava3vxf.html	1	1.8%
https://www.ddtpro.com	1	1.8%
https://www.bilibili.com/bangumi/media/md4314622	1	1.8%
https://tv.nrk.no/serie/atlantic-crossing	1	1.8%
Other values (35)	35	62.5%

Most occurring characters

Value	Count	Frequency (%)
/	248	9.1%
e	199	7.3%
t	182	6.7%
s	173	6.4%
o	128	4.7%
a	119	4.4%
i	115	4.2%
w	114	4.2%
p	108	4.0%
.	104	3.8%
Other values (58)	1234	45.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1954	71.7%
Other Punctuation	410	15.1%
Decimal Number	204	7.5%
Dash Punctuation	77	2.8%
Uppercase Letter	75	2.8%
Math Symbol	2	0.1%
Connector Punctuation	2	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	199	10.2%
t	182	9.3%
s	173	8.9%
o	128	6.6%
a	119	6.1%
i	115	5.9%
w	114	5.8%
p	108	5.5%
n	98	5.0%
r	95	4.9%
Other values (16)	623	31.9%

Uppercase Letter

Value	Count	Frequency (%)
L	6	8.0%
C	6	8.0%
B	6	8.0%
H	5	6.7%
F	5	6.7%
A	5	6.7%
T	5	6.7%
D	4	5.3%
Y	4	5.3%
W	3	4.0%
Other values (14)	26	34.7%

Decimal Number

Value	Count	Frequency (%)
1	33	16.2%
2	30	14.7%
6	26	12.7%
7	22	10.8%
0	22	10.8%
4	19	9.3%
3	18	8.8%
9	17	8.3%
5	9	4.4%
8	8	3.9%

Other Punctuation

Value	Count	Frequency (%)
/	248	60.5%
.	104	25.4%
:	55	13.4%
?	2	0.5%
%	1	0.2%

Dash Punctuation

Value	Count	Frequency (%)
-	77	100.0%

Math Symbol

Value	Count	Frequency (%)
=	2	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2029	74.5%
Common	695	25.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	199	9.8%
t	182	9.0%
s	173	8.5%
o	128	6.3%
a	119	5.9%
i	115	5.7%
w	114	5.6%
p	108	5.3%
n	98	4.8%
r	95	4.7%
Other values (40)	698	34.4%

Common

Value	Count	Frequency (%)
/	248	35.7%
.	104	15.0%
-	77	11.1%
:	55	7.9%
1	33	4.7%
2	30	4.3%
6	26	3.7%
7	22	3.2%
0	22	3.2%
4	19	2.7%
Other values (8)	59	8.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2724	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	248	9.1%
e	199	7.3%
t	182	6.7%
s	173	6.4%
o	128	4.7%
a	119	4.4%
i	115	4.2%
w	114	4.2%
p	108	4.0%
.	104	3.8%
Other values (58)	1234	45.3%

_embedded_show_weight
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	32
Distinct (%)	57.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	40.55357143

Minimum	2
Maximum	88
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	576.0 B

Quantile statistics

Minimum	2
5-th percentile	2.75
Q1	15
median	36.5
Q3	73.25
95-th percentile	84.25
Maximum	88
Range	86
Interquartile range (IQR)	58.25

Descriptive statistics

Standard deviation	28.57775336
Coefficient of variation (CV)	0.7046914082
Kurtosis	-1.454324592
Mean	40.55357143
Median Absolute Deviation (MAD)	25.5
Skewness	0.1981907925
Sum	2271
Variance	816.687987
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=32)

Value	Count	Frequency (%)
74	8	14.3%
88	3	5.4%
3	3	5.4%
27	3	5.4%
2	3	5.4%
15	2	3.6%
18	2	3.6%
59	2	3.6%
6	2	3.6%
44	2	3.6%
Other values (22)	26	46.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	3	5.4%
3	3	5.4%
6	2	3.6%
8	1	1.8%
10	2	3.6%
12	1	1.8%
13	1	1.8%
15	2	3.6%
17	1	1.8%
18	2	3.6%

Value	Count	Frequency (%)
88	3	5.4%
83	1	1.8%
76	2	3.6%
74	8	14.3%
73	1	1.8%
70	2	3.6%
60	1	1.8%
59	2	3.6%
57	1	1.8%
53	1	1.8%

_embedded_show_dvdCountry
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	3.6%
Missing	0
Missing (%)	0.0%
Memory size	576.0 B

nan	55
{'name': 'Ukraine', 'code': 'UA', 'timezone': 'Europe/Zaporozhye'}	1

Length

Max length	66
Median length	3
Mean length	4.125
Min length	3

Characters and Unicode

Total characters	231
Distinct characters	27
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	1.8%

Sample

1st row	nan
2nd row	nan
3rd row	nan
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	55	98.2%
{'name': 'Ukraine', 'code': 'UA', 'timezone': 'Europe/Zaporozhye'}	1	1.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
nan	55	90.2%
name	1	1.6%
ukraine	1	1.6%
code	1	1.6%
ua	1	1.6%
timezone	1	1.6%
europe/zaporozhye	1	1.6%

Most occurring characters

Value	Count	Frequency (%)
n	113	48.9%
a	58	25.1%
'	12	5.2%
e	7	3.0%
o	5	2.2%
	5	2.2%
:	3	1.3%
r	3	1.3%
i	2	0.9%
p	2	0.9%
Other values (17)	21	9.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	201	87.0%
Other Punctuation	18	7.8%
Space Separator	5	2.2%
Uppercase Letter	5	2.2%
Open Punctuation	1	0.4%
Close Punctuation	1	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	113	56.2%
a	58	28.9%
e	7	3.5%
o	5	2.5%
r	3	1.5%
i	2	1.0%
p	2	1.0%
z	2	1.0%
m	2	1.0%
u	1	0.5%
Other values (6)	6	3.0%

Other Punctuation

Value	Count	Frequency (%)
'	12	66.7%
:	3	16.7%
,	2	11.1%
/	1	5.6%

Uppercase Letter

Value	Count	Frequency (%)
U	2	40.0%
Z	1	20.0%
E	1	20.0%
A	1	20.0%

Space Separator

Value	Count	Frequency (%)
	5	100.0%

Open Punctuation

Value	Count	Frequency (%)
{	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
}	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	206	89.2%
Common	25	10.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	113	54.9%
a	58	28.2%
e	7	3.4%
o	5	2.4%
r	3	1.5%
i	2	1.0%
p	2	1.0%
z	2	1.0%
U	2	1.0%
m	2	1.0%
Other values (10)	10	4.9%

Common

Value	Count	Frequency (%)
'	12	48.0%
	5	20.0%
:	3	12.0%
,	2	8.0%
/	1	4.0%
{	1	4.0%
}	1	4.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	231	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	113	48.9%
a	58	25.1%
'	12	5.2%
e	7	3.0%
o	5	2.2%
	5	2.2%
:	3	1.3%
r	3	1.3%
i	2	0.9%
p	2	0.9%
Other values (17)	21	9.1%

_embedded_show_summary
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	40
Distinct (%)	71.4%
Missing	0
Missing (%)	0.0%
Memory size	576.0 B

<p>The marriage of Nadine and Remco seems to be ok: he is making earnings, she is taking care of their kids. Everything seems to be fine, until Remco confesses his cheating on her with her halfsister and leaves. Nadine is inconsolable. But behind her tears, a small fire is spreading. She wants to fight for her self-esteem and radically changes her life.</p>	8
nan	6
<p>Once they were the coolest guys in school. Ten years later, they are still partying as if they were carefree teenagers. Now it's high time for daddy's boys to grow up.</p>	3
<p><b>Fancy Nancy</b> centers around six-year-old Nancy, a girl who likes to be fancy in everything from her advanced vocabulary to her creative, elaborate attire. Excited to experience what the magnificent world has to offer, Nancy uses her ingenuity and imagination as she learns that while life doesn't always go as planned, it's important to celebrate the differences that make everyone unique.</p>	2
<p>This family series revolves around the two friends Lasse and Maja who run a detective agency together in the small town of Valleby. They investigate all possible mysteries and contribute crucial pieces to the police chief, played by Anders Jansson.</p>	2
Other values (35)	35

Length

Max length	851
Median length	457
Mean length	331.9285714
Min length	3

Characters and Unicode

Total characters	18588
Distinct characters	102
Distinct categories	13 ?
Distinct scripts	4 ?
Distinct blocks	7 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	35 ?
Unique (%)	62.5%

Sample

1st row	<p>The non-fiction series "Maniacs" tells about the most high-profile Russian crimes, in which still not all the circumstances are clear to the end</p>
2nd row	<p>Zero was mankind's first real superhero. Under his watch, countless other superheros appeared and followed in his footsteps. However, after 5 years of war, Zero disappeared without a trace.<br /><br />(Source: zeroscans)</p>
3rd row	<p>One day, an unexplained RR virus appeared on the earth, drawing the world into disaster. Infected animals mutated into terrible monsters, invaded massively, and humans built walls around the destruction and established the base city as the last bastion for humans. The suffering that mankind has experienced during this period of time is known as the "Great Nirvana Period." Not only that, Luo Feng not only carried the burden of supporting the family but also to protect the human homeland, for the better survival and development of mankind, together with other justice warriors, to join hands against the fierce monsters. Under the desperate situation of the end, can Luo Feng and other warriors repel monsters and successfully protect the human world?</p>
4th row	<p>The protagonist Qin Chen, who was originally the top genius in the military domain, was conspired by the people to fall into the death canyon in the forbidden land of the mainland. Qin Chen, who was inevitably dead, unexpectedly triggered the power of the mysterious ancient sword.<br /><br />Three hundred years later, in a remote part of the Tianwu mainland, a boy of the same name accidentally inherited Qin Chen's will. As the beloved grandson of King Dingwu of the Daqi National Army, due to the birth father's birth, the mother and son were treated coldly in Dingwu's palace and lived together. In order to rewrite the myth of the strong man in hope of the sun, and to protect everything he loves, Qin Chen resolutely took up the responsibility of maintaining the five kingdoms of the world and set foot on the road of martial arts again.</p>
5th row	nan

Common Values

Value	Count	Frequency (%)
<p>The marriage of Nadine and Remco seems to be ok: he is making earnings, she is taking care of their kids. Everything seems to be fine, until Remco confesses his cheating on her with her halfsister and leaves. Nadine is inconsolable. But behind her tears, a small fire is spreading. She wants to fight for her self-esteem and radically changes her life.</p>	8	14.3%
nan	6	10.7%
<p>Once they were the coolest guys in school. Ten years later, they are still partying as if they were carefree teenagers. Now it's high time for daddy's boys to grow up.</p>	3	5.4%
<p><b>Fancy Nancy</b> centers around six-year-old Nancy, a girl who likes to be fancy in everything from her advanced vocabulary to her creative, elaborate attire. Excited to experience what the magnificent world has to offer, Nancy uses her ingenuity and imagination as she learns that while life doesn't always go as planned, it's important to celebrate the differences that make everyone unique.</p>	2	3.6%
<p>This family series revolves around the two friends Lasse and Maja who run a detective agency together in the small town of Valleby. They investigate all possible mysteries and contribute crucial pieces to the police chief, played by Anders Jansson.</p>	2	3.6%
<p><b>AwesomenessTV's Next Influencer</b> follows a group of content creators competing in a series of challenges to prove they have what it takes to become the next big influencer.</p>	1	1.8%
<p><b>The George Lucas Talk Show</b>, a long-running cult talk show hosted by Connor Ratliff, as George Lucas, his sidekick Watto (Griffin Newman), and his producer Patrick Cotnoir. They interview guests in a panel format weekly on PlanetScum.</p>	1	1.8%
<p>A show of intellectual satire. The show discusses national and foreign issues in a witty and biting way, and once a month - a topic prepared in detail by the screenwriters. Since the beginning of the fifth season, three hosts have shared the main wheel: Andrius Tapinas, Ignas Grinevičius, and Irma Bogdanovičiūtė.</p>	1	1.8%
<p>Farah and Shadi are left to deal with the consequences of their son's kidnapping. Between war and peace, Majed and Dalal rediscover their relationship.</p>	1	1.8%
<p><b>Ghost Dimension Lock Down</b> paranormal investigators take on the UK's most haunting buildings, searching for paranormal activity. While the world is on lockdown, it appears that the ghosts are not. </p>	1	1.8%
Other values (30)	30	53.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	172	5.6%
and	116	3.8%
to	95	3.1%
of	89	2.9%
a	63	2.1%
is	60	2.0%
her	56	1.8%
in	55	1.8%
with	29	1.0%
they	26	0.9%
Other values (1169)	2287	75.0%

Most occurring characters

Value	Count	Frequency (%)
	2987	16.1%
e	1839	9.9%
a	1175	6.3%
t	1154	6.2%
n	1061	5.7%
i	1042	5.6%
s	1024	5.5%
o	993	5.3%
r	911	4.9%
h	761	4.1%
Other values (92)	5641	30.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	14133	76.0%
Space Separator	2994	16.1%
Uppercase Letter	548	2.9%
Other Punctuation	495	2.7%
Math Symbol	316	1.7%
Dash Punctuation	40	0.2%
Decimal Number	34	0.2%
Open Punctuation	8	< 0.1%
Close Punctuation	8	< 0.1%
Other Letter	8	< 0.1%
Other values (3)	4	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1839	13.0%
a	1175	8.3%
t	1154	8.2%
n	1061	7.5%
i	1042	7.4%
s	1024	7.2%
o	993	7.0%
r	911	6.4%
h	761	5.4%
l	556	3.9%
Other values (24)	3617	25.6%

Uppercase Letter

Value	Count	Frequency (%)
T	61	11.1%
S	53	9.7%
N	47	8.6%
W	46	8.4%
R	30	5.5%
E	27	4.9%
H	22	4.0%
A	22	4.0%
F	21	3.8%
G	21	3.8%
Other values (17)	198	36.1%

Other Punctuation

Value	Count	Frequency (%)
,	165	33.3%
.	164	33.1%
/	82	16.6%
'	35	7.1%
"	15	3.0%
:	14	2.8%
!	12	2.4%
?	6	1.2%
@	1	0.2%
#	1	0.2%

Decimal Number

Value	Count	Frequency (%)
0	12	35.3%
2	7	20.6%
1	5	14.7%
8	3	8.8%
9	3	8.8%
4	2	5.9%
5	1	2.9%
7	1	2.9%

Other Letter

Value	Count	Frequency (%)
社	1	12.5%
ム	1	12.5%
ダ	1	12.5%
タ	1	12.5%
ス	1	12.5%
式	1	12.5%
会	1	12.5%
株	1	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	30	75.0%
—	8	20.0%
–	2	5.0%

Space Separator

Value	Count	Frequency (%)
	2987	99.8%
	7	0.2%

Math Symbol

Value	Count	Frequency (%)
<	158	50.0%
>	158	50.0%

Open Punctuation

Value	Count	Frequency (%)
(	7	87.5%
[	1	12.5%

Close Punctuation

Value	Count	Frequency (%)
)	7	87.5%
]	1	12.5%

Currency Symbol

Value	Count	Frequency (%)
$	1	50.0%
₴	1	50.0%

Other Symbol

Value	Count	Frequency (%)
✪	1	100.0%

Modifier Letter

Value	Count	Frequency (%)
ー	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	14681	79.0%
Common	3899	21.0%
Han	4	< 0.1%
Katakana	4	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1839	12.5%
a	1175	8.0%
t	1154	7.9%
n	1061	7.2%
i	1042	7.1%
s	1024	7.0%
o	993	6.8%
r	911	6.2%
h	761	5.2%
l	556	3.8%
Other values (51)	4165	28.4%

Common

Value	Count	Frequency (%)
	2987	76.6%
,	165	4.2%
.	164	4.2%
<	158	4.1%
>	158	4.1%
/	82	2.1%
'	35	0.9%
-	30	0.8%
"	15	0.4%
:	14	0.4%
Other values (23)	91	2.3%

Han

Value	Count	Frequency (%)
社	1	25.0%
式	1	25.0%
会	1	25.0%
株	1	25.0%

Katakana

Value	Count	Frequency (%)
ム	1	25.0%
ダ	1	25.0%
タ	1	25.0%
ス	1	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	18544	99.8%
None	23	0.1%
Punctuation	10	0.1%
Katakana	5	< 0.1%
CJK	4	< 0.1%
Dingbats	1	< 0.1%
Currency Symbols	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	2987	16.1%
e	1839	9.9%
a	1175	6.3%
t	1154	6.2%
n	1061	5.7%
i	1042	5.6%
s	1024	5.5%
o	993	5.4%
r	911	4.9%
h	761	4.1%
Other values (69)	5597	30.2%

Punctuation

Value	Count	Frequency (%)
—	8	80.0%
–	2	20.0%

None

Value	Count	Frequency (%)
	7	30.4%
ä	3	13.0%
Å	2	8.7%
å	2	8.7%
é	2	8.7%
ö	2	8.7%
č	2	8.7%
ā	1	4.3%
ė	1	4.3%
ū	1	4.3%

CJK

Value	Count	Frequency (%)
社	1	25.0%
式	1	25.0%
会	1	25.0%
株	1	25.0%

Dingbats

Value	Count	Frequency (%)
✪	1	100.0%

Katakana

Value	Count	Frequency (%)
ム	1	20.0%
ダ	1	20.0%
ー	1	20.0%
タ	1	20.0%
ス	1	20.0%

Currency Symbols

Value	Count	Frequency (%)
₴	1	100.0%

_embedded_show_updated
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	45
Distinct (%)	80.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1630359132

Minimum	1603467037
Maximum	1651764342
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	576.0 B

Quantile statistics

Minimum	1603467037
5-th percentile	1607867000
Q1	1611904902
median	1629692845
Q3	1648343911
95-th percentile	1651474191
Maximum	1651764342
Range	48297305
Interquartile range (IQR)	36439009

Descriptive statistics

Standard deviation	17037980
Coefficient of variation (CV)	0.01045044596
Kurtosis	-1.580063365
Mean	1630359132
Median Absolute Deviation (MAD)	18619733.5
Skewness	-0.09278889687
Sum	9.130011138 × 10¹⁰
Variance	2.902927624 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=45)

Value	Count	Frequency (%)
1607867000	8	14.3%
1626429264	3	5.4%
1634948018	2	3.6%
1621926906	2	3.6%
1643899039	1	1.8%
1634449698	1	1.8%
1618243582	1	1.8%
1649774689	1	1.8%
1645039616	1	1.8%
1614854371	1	1.8%
Other values (35)	35	62.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1603467037	1	1.8%
1607464618	1	1.8%
1607867000	8	14.3%
1608504020	1	1.8%
1609616788	1	1.8%
1611039497	1	1.8%
1611436842	1	1.8%
1612060922	1	1.8%
1614854371	1	1.8%
1617986735	1	1.8%

Value	Count	Frequency (%)
1651764342	1	1.8%
1651749165	1	1.8%
1651645684	1	1.8%
1651417027	1	1.8%
1651260063	1	1.8%
1650983676	1	1.8%
1650908800	1	1.8%
1649774689	1	1.8%
1649572594	1	1.8%
1649423444	1	1.8%

_links_self_href
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	56
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	576.0 B

https://api.tvmaze.com/episodes/1977902	1
https://api.tvmaze.com/episodes/2015818	1
https://api.tvmaze.com/episodes/2169203	1
https://api.tvmaze.com/episodes/2312223	1
https://api.tvmaze.com/episodes/2312224	1
Other values (51)	51

Length

Max length	39
Median length	39
Mean length	39
Min length	39

Characters and Unicode

Total characters	2184
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	56 ?
Unique (%)	100.0%

Sample

1st row	https://api.tvmaze.com/episodes/1977902
2nd row	https://api.tvmaze.com/episodes/2015818
3rd row	https://api.tvmaze.com/episodes/1964000
4th row	https://api.tvmaze.com/episodes/1995405
5th row	https://api.tvmaze.com/episodes/2007760

Common Values

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1977902	1	1.8%
https://api.tvmaze.com/episodes/2015818	1	1.8%
https://api.tvmaze.com/episodes/2169203	1	1.8%
https://api.tvmaze.com/episodes/2312223	1	1.8%
https://api.tvmaze.com/episodes/2312224	1	1.8%
https://api.tvmaze.com/episodes/2312225	1	1.8%
https://api.tvmaze.com/episodes/2312226	1	1.8%
https://api.tvmaze.com/episodes/2312227	1	1.8%
https://api.tvmaze.com/episodes/2312228	1	1.8%
https://api.tvmaze.com/episodes/2087588	1	1.8%
Other values (46)	46	82.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1977902	1	1.8%
https://api.tvmaze.com/episodes/2015818	1	1.8%
https://api.tvmaze.com/episodes/2324433	1	1.8%
https://api.tvmaze.com/episodes/1964000	1	1.8%
https://api.tvmaze.com/episodes/1995405	1	1.8%
https://api.tvmaze.com/episodes/2007760	1	1.8%
https://api.tvmaze.com/episodes/1985789	1	1.8%
https://api.tvmaze.com/episodes/2039622	1	1.8%
https://api.tvmaze.com/episodes/2039623	1	1.8%
https://api.tvmaze.com/episodes/2324427	1	1.8%
Other values (46)	46	82.1%

Most occurring characters

Value	Count	Frequency (%)
/	224	10.3%
t	168	7.7%
p	168	7.7%
s	168	7.7%
e	168	7.7%
a	112	5.1%
i	112	5.1%
.	112	5.1%
m	112	5.1%
o	112	5.1%
Other values (16)	728	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1400	64.1%
Other Punctuation	392	17.9%
Decimal Number	392	17.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	168	12.0%
p	168	12.0%
s	168	12.0%
e	168	12.0%
a	112	8.0%
i	112	8.0%
m	112	8.0%
o	112	8.0%
h	56	4.0%
d	56	4.0%
Other values (3)	168	12.0%

Decimal Number

Value	Count	Frequency (%)
2	83	21.2%
9	54	13.8%
1	46	11.7%
0	45	11.5%
3	34	8.7%
8	28	7.1%
4	27	6.9%
7	26	6.6%
6	25	6.4%
5	24	6.1%

Other Punctuation

Value	Count	Frequency (%)
/	224	57.1%
.	112	28.6%
:	56	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1400	64.1%
Common	784	35.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	224	28.6%
.	112	14.3%
2	83	10.6%
:	56	7.1%
9	54	6.9%
1	46	5.9%
0	45	5.7%
3	34	4.3%
8	28	3.6%
4	27	3.4%
Other values (3)	75	9.6%

Latin

Value	Count	Frequency (%)
t	168	12.0%
p	168	12.0%
s	168	12.0%
e	168	12.0%
a	112	8.0%
i	112	8.0%
m	112	8.0%
o	112	8.0%
h	56	4.0%
d	56	4.0%
Other values (3)	168	12.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2184	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	224	10.3%
t	168	7.7%
p	168	7.7%
s	168	7.7%
e	168	7.7%
a	112	5.1%
i	112	5.1%
.	112	5.1%
m	112	5.1%
o	112	5.1%
Other values (16)	728	33.3%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	summary	_embedded_show_id	_embedded_show_url	_embedded_show_name	_embedded_show_type	_embedded_show_language	_embedded_show_genres	_embedded_show_status	_embedded_show_runtime	_embedded_show_averageRuntime	_embedded_show_premiered	_embedded_show_ended	_embedded_show_officialSite	_embedded_show_weight	_embedded_show_dvdCountry	_embedded_show_summary	_embedded_show_updated	_links_self_href
0	2269800	https://www.tvmaze.com/episodes/2269800/manaki-1x07-golos-zvera-delo-arhangelskogo-manaka	Голос зверя. Дело архангельского маньяка	1.0	7.0	regular	2020-12-06	nan	2020-12-06T00:00:00+00:00	40.0	nan	48597	https://www.tvmaze.com/shows/48597/manaki	Маньяки	Documentary	Russian	[]	Running	40.0	40.0	2020-05-22	nan	https://premier.one/show/12420	15.0	nan	<p>The non-fiction series "Maniacs" tells about the most high-profile Russian crimes, in which still not all the circumstances are clear to the end</p>	1.643899e+09	https://api.tvmaze.com/episodes/1977902
1	1956338	https://www.tvmaze.com/episodes/1956338/hero-return-1x09-episode-9	Episode 9	1.0	9.0	regular	2020-12-06	10:00	2020-12-06T02:00:00+00:00	15.0	nan	51471	https://www.tvmaze.com/shows/51471/hero-return	Hero Return	Animation	Chinese	['Action', 'Anime', 'Science-Fiction']	Running	15.0	16.0	2020-10-18	nan	https://v.qq.com/detail/q/q72jd29a3oxflsr.html	76.0	nan	<p>Zero was mankind's first real superhero. Under his watch, countless other superheros appeared and followed in his footsteps. However, after 5 years of war, Zero disappeared without a trace.<br /><br />(Source: zeroscans)</p>	1.603467e+09	https://api.tvmaze.com/episodes/2015818
2	1978217	https://www.tvmaze.com/episodes/1978217/swallowed-star-1x03-episode-3	Episode 3	1.0	3.0	regular	2020-12-06	10:00	2020-12-06T02:00:00+00:00	NaN	nan	52178	https://www.tvmaze.com/shows/52178/swallowed-star	Swallowed Star	Animation	Chinese	['Anime', 'Science-Fiction']	Running	NaN	21.0	2020-11-29	nan	https://v.qq.com/detail/3/324olz7ilvo2j5f.html	88.0	nan	<p>One day, an unexplained RR virus appeared on the earth, drawing the world into disaster. Infected animals mutated into terrible monsters, invaded massively, and humans built walls around the destruction and established the base city as the last bastion for humans. The suffering that mankind has experienced during this period of time is known as the "Great Nirvana Period." Not only that, Luo Feng not only carried the burden of supporting the family but also to protect the human homeland, for the better survival and development of mankind, together with other justice warriors, to join hands against the fierce monsters. Under the desperate situation of the end, can Luo Feng and other warriors repel monsters and successfully protect the human world?</p>	1.648371e+09	https://api.tvmaze.com/episodes/1964000
3	2052506	https://www.tvmaze.com/episodes/2052506/wu-shen-zhu-zai-1x81-episode-81	Episode 81	1.0	81.0	regular	2020-12-06	10:00	2020-12-06T02:00:00+00:00	8.0	nan	54033	https://www.tvmaze.com/shows/54033/wu-shen-zhu-zai	Wu Shen Zhu Zai	Animation	Chinese	['Action', 'Adventure', 'Anime', 'Fantasy']	Running	8.0	8.0	2020-03-08	nan	https://v.qq.com/detail/m/7q544xyrava3vxf.html	76.0	nan	<p>The protagonist Qin Chen, who was originally the top genius in the military domain, was conspired by the people to fall into the death canyon in the forbidden land of the mainland. Qin Chen, who was inevitably dead, unexpectedly triggered the power of the mysterious ancient sword.<br /><br />Three hundred years later, in a remote part of the Tianwu mainland, a boy of the same name accidentally inherited Qin Chen's will. As the beloved grandson of King Dingwu of the Daqi National Army, due to the birth father's birth, the mother and son were treated coldly in Dingwu's palace and lived together. In order to rewrite the myth of the strong man in hope of the sun, and to protect everything he loves, Qin Chen resolutely took up the responsibility of maintaining the five kingdoms of the world and set foot on the road of martial arts again.</p>	1.649423e+09	https://api.tvmaze.com/episodes/1995405
4	2138924	https://www.tvmaze.com/episodes/2138924/tokyo-joshi-pro-wrestling-2020-12-06-tjpw-fall-tour-20-womm-wrestling-of-my-mind	TJPW Fall Tour '20 ~ WOMM (Wrestling Of My Mind) ~	2020.0	42.0	regular	2020-12-06	12:00	2020-12-06T03:00:00+00:00	120.0	nan	49740	https://www.tvmaze.com/shows/49740/tokyo-joshi-pro-wrestling	Tokyo Joshi Pro Wrestling	Sports	Japanese	[]	Running	120.0	120.0	2013-01-30	nan	https://www.ddtpro.com/	13.0	nan	nan	1.651764e+09	https://api.tvmaze.com/episodes/2007760
5	2012320	https://www.tvmaze.com/episodes/2012320/mans-diary-2x05-episode-5	Episode 5	2.0	5.0	regular	2020-12-06	nan	2020-12-06T04:00:00+00:00	12.0	nan	50398	https://www.tvmaze.com/shows/50398/mans-diary	Man's Diary	Animation	Chinese	['Anime', 'Supernatural']	Running	12.0	12.0	2019-07-21	nan	https://www.bilibili.com/bangumi/media/md4314622	3.0	nan	<p>In the twenty-first century, gods and demons can no longer maintain balance due to the rapid development of human society. In an effort to restore proper order, the gods began to take care of saving the world, for which they sent a group of gods and monsters to the world of people, who must find there the " key " to salvation. Su moting is a girl with the personality of "demon child". When her parents asked her to leave home so that she could become independent and independent, she met the beautiful and charming God of Tianjin and the mysterious demon cat. So begins a new turbulent round of su moting's life.</p><p><br /> </p>	1.611039e+09	https://api.tvmaze.com/episodes/1985789
6	1957067	https://www.tvmaze.com/episodes/1957067/atlantic-crossing-1x07-gaven	Gaven	1.0	7.0	regular	2020-12-06	06:00	2020-12-06T05:00:00+00:00	54.0	<p>Märtha ends up in a quandary when the president announces that he wants to support Norway and asks her to say how she feels about him.</p>	44659	https://www.tvmaze.com/shows/44659/atlantic-crossing	Atlantic Crossing	Scripted	Norwegian	['Drama', 'War', 'History']	Ended	NaN	55.0	2020-10-25	2020-12-13	https://tv.nrk.no/serie/atlantic-crossing	83.0	nan	<p>1940. Norway is occupied by Nazi Germany. Crown Princess Märtha and her children find shelter as political refugees in the White House. Her presence in Washington soon influences President Roosevelt's views on the tragic events unfolding in Europe and eventually changes the dynamics of U.S. politics significantly. What starts as an affair turns into love and turmoil when Märtha speaks out publicly against the Nazi tyranny. In an attempt to fight for her country, she puts her marriage at risk and convinces the President to support Norway – a first step in the struggle that will lead to the U.S. joining the War. However, Märtha's actions cause her to make many enemies, some of them even closer than she thinks: within the walls of the White House.</p>	1.648486e+09	https://api.tvmaze.com/episodes/2039622
7	1977314	https://www.tvmaze.com/episodes/1977314/stjernestov-1x06-episode-6	Episode 6	1.0	6.0	regular	2020-12-06	06:00	2020-12-06T05:00:00+00:00	18.0	nan	50752	https://www.tvmaze.com/shows/50752/stjernestov	Stjernestøv	Scripted	Norwegian	['Drama', 'Children', 'Family']	Ended	20.0	20.0	2020-12-01	2020-12-24	https://tv.nrk.no/serie/stjernestoev	22.0	nan	<p>The parents get divorced and Jo has to move to a new place. One day, Nordstjerna goes out, and Jo discovers that a girl with magical powers lives in the attic.</p>	1.611437e+09	https://api.tvmaze.com/episodes/2039623
8	1974049	https://www.tvmaze.com/episodes/1974049/love-revolution-1x23-episode-23	Episode 23	1.0	23.0	regular	2020-12-06	17:00	2020-12-06T08:00:00+00:00	20.0	nan	49948	https://www.tvmaze.com/shows/49948/love-revolution	Love Revolution	Scripted	Korean	['Drama', 'Comedy', 'Romance']	Ended	20.0	20.0	2020-09-01	2020-12-27	https://tv.kakao.com/channel/3643849/cliplink/412069527?metaObjectType=Channel	34.0	nan	<p>The story of the "unique romance" about teenagers navigating love, friendship, and the chaos of high school. The story will focus mainly on Gong Joo Young, a cute and lovable student who falls in love at first sight with the standoffish and popular Wang Ja Rim. Unwavering in his love for Wang Ja Rim, the confident and cheerful Gong Joo Young isn't shy about his feelings and is determined to win her heart no matter what. However, despite his gentle, sweet nature when it comes to love, Gong Joo Young is also a steadfast, loyal friend who shows off a tougher and more mature side when his friends need his help.</p>	1.609617e+09	https://api.tvmaze.com/episodes/2324427
9	1965922	https://www.tvmaze.com/episodes/1965922/new-japan-pro-wrestling-2020-12-06-world-tag-league-2020best-of-the-super-jr27-night-9	WORLD TAG LEAGUE 2020/BEST OF THE SUPER Jr.27 Night 9	2020.0	85.0	regular	2020-12-06	18:00	2020-12-06T09:00:00+00:00	120.0	nan	24963	https://www.tvmaze.com/shows/24963/new-japan-pro-wrestling	New Japan Pro Wrestling	Sports	Japanese	[]	Running	120.0	97.0	2015-01-04	nan	http://www.njpw1972.com/	60.0	nan	<p><b>New Japan Pro Wrestling</b> (NJPW) is the largest professional wrestling promotion in Japan and the second largest promotion in the world.</p>	1.650984e+09	https://api.tvmaze.com/episodes/2324428

Last rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	summary	_embedded_show_id	_embedded_show_url	_embedded_show_name	_embedded_show_type	_embedded_show_language	_embedded_show_genres	_embedded_show_status	_embedded_show_runtime	_embedded_show_averageRuntime	_embedded_show_premiered	_embedded_show_ended	_embedded_show_officialSite	_embedded_show_weight	_embedded_show_dvdCountry	_embedded_show_summary	_embedded_show_updated	_links_self_href
46	1990373	https://www.tvmaze.com/episodes/1990373/fantastico-48x49-edition-of-12062020	Edition of 12/06/2020	48.0	49.0	regular	2020-12-06	nan	2020-12-06T14:00:00+00:00	NaN	nan	36907	https://www.tvmaze.com/shows/36907/fantastico	Fantástico	News	Portuguese	[]	Running	NaN	NaN	1973-08-05	nan	http://g1.globo.com/fantastico/	12.0	nan	nan	1.625403e+09	https://api.tvmaze.com/episodes/1993940
47	2004130	https://www.tvmaze.com/episodes/2004130/wwe-24-2020-12-06-keith-lee	Keith Lee	2020.0	7.0	regular	2020-12-06	nan	2020-12-06T17:00:00+00:00	60.0	nan	7591	https://www.tvmaze.com/shows/7591/wwe-24	WWE 24	Documentary	English	['Sports']	Running	60.0	57.0	2015-01-26	nan	http://network.wwe.com/shows/original/wwe-24	44.0	nan	<p><b>WWE 24</b> takes you behind the scenes of some of the biggest WWE Pay Per Views in WWE history.</p>	1.648094e+09	https://api.tvmaze.com/episodes/2037532
48	2165929	https://www.tvmaze.com/episodes/2165929/off-topic-2020-12-06-jeremy-takes-a-tumble-260	Jeremy Takes a Tumble - #260	2020.0	46.0	regular	2020-12-06	nan	2020-12-06T17:00:00+00:00	120.0	nan	18752	https://www.tvmaze.com/shows/18752/off-topic	Off Topic	Talk Show	English	['Comedy']	Running	120.0	120.0	2015-12-06	nan	https://roosterteeth.com/series/off-topic-the-achievement-hunter-podcast	39.0	nan	<p>The lads and lasses of Achievement Hunter congregate each week to discuss the important questions in life. Plus drink beer.</p>	1.631188e+09	https://api.tvmaze.com/episodes/2068252
49	1981599	https://www.tvmaze.com/episodes/1981599/idolish7-2x12-ripples	Ripples	2.0	12.0	regular	2020-12-06	nan	2020-12-06T17:00:00+00:00	25.0	<p>IDOLiSH7 is accused of appropriating Zero's songs, so Takanashi Production holds a press conference. Nagi volunteers to face the press and explains that he was officially given the rights to the song by composer Sakura Haruki. However, a suspicious man dressed as Zero appears at the press conference, aggravating the scandal.</p>	33463	https://www.tvmaze.com/shows/33463/idolish7	IDOLiSH7	Animation	Japanese	['Anime', 'Music']	Running	25.0	25.0	2017-11-02	nan	http://idolish7.com/aninana/	29.0	nan	<p>A group of aspiring idols gather at Takanashi Productions and are entrusted with the company's future. The seven men who have just met represent a variety of totally different personalities. However, they each have their own charm and possess unknown potential as idols. Forming a group, they take their first step together as <b>IDOLiSH7</b>. Their brilliantly shining dancing forms onstage eventually begin captivating the hearts of the people. In the glorious but sometimes harsh world of idols, they aim for the top with dreams in their hearts!</p>	1.628688e+09	https://api.tvmaze.com/episodes/1996820
50	1975187	https://www.tvmaze.com/episodes/1975187/fancy-nancy-2x35-battle-for-the-cul-de-sac	Battle for the Cul-de-Sac	2.0	35.0	regular	2020-12-06	12:00	2020-12-06T17:00:00+00:00	15.0	nan	34940	https://www.tvmaze.com/shows/34940/fancy-nancy	Fancy Nancy	Animation	English	['Comedy', 'Adventure', 'Children']	Running	15.0	15.0	2018-07-13	nan	https://disneynow.com/shows/fancy-nancy	59.0	nan	<p><b>Fancy Nancy</b> centers around six-year-old Nancy, a girl who likes to be fancy in everything from her advanced vocabulary to her creative, elaborate attire. Excited to experience what the magnificent world has to offer, Nancy uses her ingenuity and imagination as she learns that while life doesn't always go as planned, it's important to celebrate the differences that make everyone unique.</p>	1.634948e+09	https://api.tvmaze.com/episodes/1985251
51	1975188	https://www.tvmaze.com/episodes/1975188/fancy-nancy-2x36-sally-merry-clancy	Sally Merry Clancy	2.0	36.0	regular	2020-12-06	12:00	2020-12-06T17:00:00+00:00	15.0	nan	34940	https://www.tvmaze.com/shows/34940/fancy-nancy	Fancy Nancy	Animation	English	['Comedy', 'Adventure', 'Children']	Running	15.0	15.0	2018-07-13	nan	https://disneynow.com/shows/fancy-nancy	59.0	nan	<p><b>Fancy Nancy</b> centers around six-year-old Nancy, a girl who likes to be fancy in everything from her advanced vocabulary to her creative, elaborate attire. Excited to experience what the magnificent world has to offer, Nancy uses her ingenuity and imagination as she learns that while life doesn't always go as planned, it's important to celebrate the differences that make everyone unique.</p>	1.634948e+09	https://api.tvmaze.com/episodes/2017664
52	1977560	https://www.tvmaze.com/episodes/1977560/peytons-places-2x02-john-elway	John Elway	2.0	2.0	regular	2020-12-06	nan	2020-12-06T17:00:00+00:00	30.0	nan	43207	https://www.tvmaze.com/shows/43207/peytons-places	Peyton's Places	Documentary	English	['History', 'Sports']	Running	30.0	29.0	2019-07-29	nan	http://www.espn.com/watch/series/2043dd20-9cc0-4abe-b652-c8e7dfdfefa0/peyton-s-places	41.0	nan	<p><b>Peyton's Places</b> offers a fun, insightful tour through 100 years of football, following the sport and the league's rise to an American cultural touchstone. For nearly a year, Manning has crisscrossed the country, visiting the people and places that have played an important part in the making of the NFL—highlighting memorable events, teams, players, and trends over the past century.</p>	1.647692e+09	https://api.tvmaze.com/episodes/1996798
53	1969227	https://www.tvmaze.com/episodes/1969227/til-deg-fra-meg-1x02-episode-2	Episode 2	1.0	2.0	regular	2020-12-06	22:20	2020-12-06T21:20:00+00:00	29.0	nan	51894	https://www.tvmaze.com/shows/51894/til-deg-fra-meg	Til deg fra meg	Reality	Norwegian	[]	To Be Determined	30.0	29.0	2020-11-29	nan	https://tv.nrk.no/serie/til-deg-fra-meg	2.0	nan	<p>In this year's Advent series, Per Sundnes meets people who are going to give away a Christmas song. They themselves have experienced more adversity than most of us. Who do they want to give a special Christmas song to?</p>	1.608504e+09	https://api.tvmaze.com/episodes/2092729
54	1972308	https://www.tvmaze.com/episodes/1972308/wwe-nxt-s14-special-nxt-takeover-wargames	NXT TakeOver: WarGames	14.0	NaN	significant_special	2020-12-06	19:00	2020-12-07T00:00:00+00:00	180.0	nan	2266	https://www.tvmaze.com/shows/2266/wwe-nxt	WWE NXT	Sports	English	[]	Running	120.0	75.0	2010-02-23	nan	http://www.wwe.com/inside/networkschedule	88.0	nan	<p>Each Wednesday at 8:00 p.m. ET, WWE Superstars and Divas of tomorrow face off on <b>WWE NXT</b><i>,</i> a one-hour weekly show that features the brightest and best of WWE's rising stars. WWE NXT showcases the Superstars and Divas from WWE's Performance Center as well as appearances from WWE Superstars and Legends in an intimate setting. WWE NXT broadcasts from the state-of-the-art Full Sail LIVE venue on the Full Sail University in campus in Orlando, Florida.</p>	1.651646e+09	https://api.tvmaze.com/episodes/1950369
55	2234688	https://www.tvmaze.com/episodes/2234688/one-mo-chance-1x08-fighting-for-love-pt-2	Fighting for Love Pt 2	1.0	8.0	regular	2020-12-06	20:00	2020-12-07T01:00:00+00:00	44.0	<p>On a journey to find love, Chance invites 15 beautiful "ladies" into his home. Each week he will put the hopefuls through various challenges to test their compatibility among other things. However, with constant infighting between the contestants, will Chance be able to finally find his happily ever after?</p>	59398	https://www.tvmaze.com/shows/59398/one-mo-chance	One Mo' Chance	Reality	English	[]	Running	NaN	47.0	2020-10-11	nan	https://www.thezeusnetwork.com/one-mo-chance	57.0	nan	<p>From the breakdown of his relationship with the mother of his children, to the death of his brother and partner Real," the last few years have been personally tough for Kamal Chance Givens. However, the original Stallionaire is now ready to get back on his horse to give love another shot. During Chance return to reality television we'll watch as he goes it alone to find the true love of his life in this new dating competition series.</p>	1.649331e+09	https://api.tvmaze.com/episodes/2083331

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Other Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Other Punctuation

Currency Symbol

Space Separator

Dash Punctuation

Close Punctuation

Open Punctuation

Math Symbol

Most occurring scripts

Most frequent character per script

Latin

Cyrillic

Common

Most occurring blocks

Most frequent character per block

ASCII

Cyrillic

None

Currency Symbols

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Connector Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number